PI and fuzzy logic controllers for shunt active power filterISA Interchange
This paper presents a shunt Active Power Filter (APF) for power quality improvements in terms of harmonics and reactive power compensation in the distribution network. The compensation process is based only on source current extraction that reduces the number of sensors as well as its complexity. A Proportional Integral (PI) or Fuzzy Logic Controller (FLC) is used to extract the required reference current from the distorted line-current, and this controls the DC-side capacitor voltage of the inverter. The shunt APF is implemented with PWM-current controlled Voltage Source Inverter (VSI) and the switching patterns are generated through a novel Adaptive-Fuzzy Hysteresis Current Controller (A-F-HCC). The proposed adaptive-fuzzy-HCC is compared with fixed-HCC and adaptive-HCC techniques and the superior features of this novel approach are established. The FLC based shunt APF system is validated through extensive simulation for diode-rectifier/R–L loads.
Comparison of Soft Computing Techniques applied in High Frequency Aircraft Sy...ijeei-iaes
This document compares the use of fuzzy logic control and adaptive tabu search algorithm for controlling a shunt active power filter in an aircraft electrical system operating at 400Hz. Simulation results show that a sinusoidal current control strategy optimized with fuzzy logic provides the best compensation performance, reducing source current THD to 2.22% and voltage THD to 1.01% with the fastest compensation time of 0.0066 seconds. While adaptive tabu search achieved slightly higher THDs, its compensation time was faster at 0.0065 seconds. Overall, fuzzy logic provided the best balance of harmonic reduction and speed for compensating the aircraft power system.
This document summarizes a journal article that proposes a fuzzy logic approach for sensorless vector control of an induction motor using an efficiency optimization technique. It presents the following:
1) A dynamic model and state space model of the induction motor in a synchronous reference frame for vector control without sensors.
2) A fuzzy logic based online efficiency optimization controller that interfaces with the drive system to minimize power consumption.
3) The controller decrements the flux in steps until the measured input power is minimized. Membership functions and rules for the fuzzy controller are provided.
4) Performance of the drive is analyzed with and without the fuzzy controller using MATLAB/Simulink simulations. The fuzzy approach is found to improve efficiency
A Comparative Study of GA tuned and PSO tuned PI Controller Based Speed Contr...paperpublications3
This document presents a comparative study of using genetic algorithm (GA) and particle swarm optimization (PSO) techniques to tune the parameters of a PI controller for speed control of a brushless DC motor. It describes brushless DC motors and their advantages over conventional DC motors. It also provides details on PI controller tuning and explains the PSO and GA optimization algorithms. The results show that both PSO and GA techniques were able to optimize the PI controller parameters to improve the motor speed response. However, GA produced a slightly better fitness value than PSO based on the integral absolute error performance criterion used in the study.
Line Losses in the 14-Bus Power System Network using UPFCIDES Editor
Controlling power flow in modern power systems
can be made more flexible by the use of recent developments
in power electronic and computing control technology. The
Unified Power Flow Controller (UPFC) is a Flexible AC
transmission system (FACTS) device that can control all the
three system variables namely line reactance, magnitude and
phase angle difference of voltage across the line. The UPFC
provides a promising means to control power flow in modern
power systems. Essentially the performance depends on proper
control setting achievable through a power flow analysis
program. This paper presents a reliable method to meet the
requirements by developing a Newton-Raphson based load
flow calculation through which control settings of UPFC can
be determined for the pre-specified power flow between the
lines. The proposed method keeps Newton-Raphson Load Flow
(NRLF) algorithm intact and needs (little modification in the
Jacobian matrix). A MATLAB program has been developed to
calculate the control settings of UPFC and the power flow
between the lines after the load flow is converged. Case studies
have been performed on IEEE 5-bus system and 14-bus system
to show that the proposed method is effective. These studies
indicate that the method maintains the basic NRLF properties
such as fast computational speed, high degree of accuracy and
good convergence rate.
Speed and Torque Control of Mechanically Coupled Permanent Magnet Direct Curr...IDES Editor
A new controller is designed for speed and torque
control of a Permanent Magnet DC motor based on
measurements of speed and current. This research work
focuses on investigating the effects of control of the speed and
torque of two brushless dc motors that are mechanically
coupled. Two controller design methods: the Root Locus
method and Bode Plot method as well as two controllers:
Proportional-Integral-Derivative (PID) and Proportional-
Integral (PI) are used to obtain the control objectives of speed
control and torque control. The simulation is performed using
MATLAB/SIMULINK software. The effects of varying the
controller gains on the system performance is studied and
quantified. The simulation results show that the speed control
objectives of the motor are satisfied even in the case of torque
disturbance from the other motor.
Design and Performance Analysis of Genetic based PID-PSS with SVC in a Multi-...IDES Editor
Damping of power system oscillations with the help
of proposed optimal Proportional Integral Derivative Power
System Stabilizer (PID-PSS) and Static Var Compensator
(SVC)-based controllers are thoroughly investigated in this
paper. This study presents robust tuning of PID-PSS and
SVC-based controllers using Genetic Algorithms (GA) in
multi machine power systems by considering detailed model
of the generators (model 1.1). The effectiveness of FACTSbased
controllers in general and SVC-based controller in
particular depends upon their proper location. Modal
controllability and observability are used to locate SVC–based
controller. The performance of the proposed controllers is
compared with conventional lead-lag power system stabilizer
(CPSS) and demonstrated on 10 machines, 39 bus New England
test system. Simulation studies show that the proposed genetic
based PID-PSS with SVC based controller provides better
performance.
Comparison of different controllers for the improvement of Dynamic response o...IJERA Editor
This document compares different fuzzy logic controllers for improving the dynamic response of an indirect vector controlled induction motor drive. It presents a new fuzzy PI controller with scaling factors and evaluates its performance against fuzzy PI and fuzzy MRAC (model reference adaptive control) controllers. Simulation results show that the proposed fuzzy PI with scaling factors has a faster settling time than fuzzy PI, and is less complex than fuzzy MRAC while still providing good parameter insensitivity. The proposed controller provides a compromise between complexity, accuracy and settling time for induction motor applications.
PI and fuzzy logic controllers for shunt active power filterISA Interchange
This paper presents a shunt Active Power Filter (APF) for power quality improvements in terms of harmonics and reactive power compensation in the distribution network. The compensation process is based only on source current extraction that reduces the number of sensors as well as its complexity. A Proportional Integral (PI) or Fuzzy Logic Controller (FLC) is used to extract the required reference current from the distorted line-current, and this controls the DC-side capacitor voltage of the inverter. The shunt APF is implemented with PWM-current controlled Voltage Source Inverter (VSI) and the switching patterns are generated through a novel Adaptive-Fuzzy Hysteresis Current Controller (A-F-HCC). The proposed adaptive-fuzzy-HCC is compared with fixed-HCC and adaptive-HCC techniques and the superior features of this novel approach are established. The FLC based shunt APF system is validated through extensive simulation for diode-rectifier/R–L loads.
Comparison of Soft Computing Techniques applied in High Frequency Aircraft Sy...ijeei-iaes
This document compares the use of fuzzy logic control and adaptive tabu search algorithm for controlling a shunt active power filter in an aircraft electrical system operating at 400Hz. Simulation results show that a sinusoidal current control strategy optimized with fuzzy logic provides the best compensation performance, reducing source current THD to 2.22% and voltage THD to 1.01% with the fastest compensation time of 0.0066 seconds. While adaptive tabu search achieved slightly higher THDs, its compensation time was faster at 0.0065 seconds. Overall, fuzzy logic provided the best balance of harmonic reduction and speed for compensating the aircraft power system.
This document summarizes a journal article that proposes a fuzzy logic approach for sensorless vector control of an induction motor using an efficiency optimization technique. It presents the following:
1) A dynamic model and state space model of the induction motor in a synchronous reference frame for vector control without sensors.
2) A fuzzy logic based online efficiency optimization controller that interfaces with the drive system to minimize power consumption.
3) The controller decrements the flux in steps until the measured input power is minimized. Membership functions and rules for the fuzzy controller are provided.
4) Performance of the drive is analyzed with and without the fuzzy controller using MATLAB/Simulink simulations. The fuzzy approach is found to improve efficiency
A Comparative Study of GA tuned and PSO tuned PI Controller Based Speed Contr...paperpublications3
This document presents a comparative study of using genetic algorithm (GA) and particle swarm optimization (PSO) techniques to tune the parameters of a PI controller for speed control of a brushless DC motor. It describes brushless DC motors and their advantages over conventional DC motors. It also provides details on PI controller tuning and explains the PSO and GA optimization algorithms. The results show that both PSO and GA techniques were able to optimize the PI controller parameters to improve the motor speed response. However, GA produced a slightly better fitness value than PSO based on the integral absolute error performance criterion used in the study.
Line Losses in the 14-Bus Power System Network using UPFCIDES Editor
Controlling power flow in modern power systems
can be made more flexible by the use of recent developments
in power electronic and computing control technology. The
Unified Power Flow Controller (UPFC) is a Flexible AC
transmission system (FACTS) device that can control all the
three system variables namely line reactance, magnitude and
phase angle difference of voltage across the line. The UPFC
provides a promising means to control power flow in modern
power systems. Essentially the performance depends on proper
control setting achievable through a power flow analysis
program. This paper presents a reliable method to meet the
requirements by developing a Newton-Raphson based load
flow calculation through which control settings of UPFC can
be determined for the pre-specified power flow between the
lines. The proposed method keeps Newton-Raphson Load Flow
(NRLF) algorithm intact and needs (little modification in the
Jacobian matrix). A MATLAB program has been developed to
calculate the control settings of UPFC and the power flow
between the lines after the load flow is converged. Case studies
have been performed on IEEE 5-bus system and 14-bus system
to show that the proposed method is effective. These studies
indicate that the method maintains the basic NRLF properties
such as fast computational speed, high degree of accuracy and
good convergence rate.
Speed and Torque Control of Mechanically Coupled Permanent Magnet Direct Curr...IDES Editor
A new controller is designed for speed and torque
control of a Permanent Magnet DC motor based on
measurements of speed and current. This research work
focuses on investigating the effects of control of the speed and
torque of two brushless dc motors that are mechanically
coupled. Two controller design methods: the Root Locus
method and Bode Plot method as well as two controllers:
Proportional-Integral-Derivative (PID) and Proportional-
Integral (PI) are used to obtain the control objectives of speed
control and torque control. The simulation is performed using
MATLAB/SIMULINK software. The effects of varying the
controller gains on the system performance is studied and
quantified. The simulation results show that the speed control
objectives of the motor are satisfied even in the case of torque
disturbance from the other motor.
Design and Performance Analysis of Genetic based PID-PSS with SVC in a Multi-...IDES Editor
Damping of power system oscillations with the help
of proposed optimal Proportional Integral Derivative Power
System Stabilizer (PID-PSS) and Static Var Compensator
(SVC)-based controllers are thoroughly investigated in this
paper. This study presents robust tuning of PID-PSS and
SVC-based controllers using Genetic Algorithms (GA) in
multi machine power systems by considering detailed model
of the generators (model 1.1). The effectiveness of FACTSbased
controllers in general and SVC-based controller in
particular depends upon their proper location. Modal
controllability and observability are used to locate SVC–based
controller. The performance of the proposed controllers is
compared with conventional lead-lag power system stabilizer
(CPSS) and demonstrated on 10 machines, 39 bus New England
test system. Simulation studies show that the proposed genetic
based PID-PSS with SVC based controller provides better
performance.
Comparison of different controllers for the improvement of Dynamic response o...IJERA Editor
This document compares different fuzzy logic controllers for improving the dynamic response of an indirect vector controlled induction motor drive. It presents a new fuzzy PI controller with scaling factors and evaluates its performance against fuzzy PI and fuzzy MRAC (model reference adaptive control) controllers. Simulation results show that the proposed fuzzy PI with scaling factors has a faster settling time than fuzzy PI, and is less complex than fuzzy MRAC while still providing good parameter insensitivity. The proposed controller provides a compromise between complexity, accuracy and settling time for induction motor applications.
Power System State Estimation - A ReviewIDES Editor
This document provides a review of power system state estimation techniques. It discusses both static and dynamic state estimation algorithms. For static state estimation, it covers weighted least squares, decoupled, and robust estimation methods. Weighted least squares is commonly used but can have numerical instability issues. Decoupled state estimation approximates the gain matrix for faster computation. Robust estimation uses M-estimators and other techniques to handle outliers and bad data. Dynamic state estimation applies Kalman filtering, leapfrog algorithms, and other methods to continuously monitor system states over time.
Convergence Parameter Analysis for Different Metaheuristic Methods Control Co...IJPEDS-IAES
This paper is an extension of our previous work, which discussed the
difficulty in implementing different methods of resistance emulation
techniques on the hardware due to its control constant estimation delay. In
order to get rid of the delay this paper attempts to include the meta-heuristic
methods for the control constants of the controller. To achieve the minimum
Total Harmonic Disturbance (THD) in the AC side of the converter modern
meta-heuristic methods are compared with the traditional methods. The
convergence parameters, which are primary for the earlier estimation of the
control constants, are compared with the measured parameters, tabulated and
tradeoff inference is done among the methods. This kind of implementation
does not need the mathematical model of the system under study for finding
the control constants. The parameters considered for estimation are
population size, maximum number of epochs, and global best solution of the
control constants, best THD value and execution time. MatlabTM /Simulink
based simulation is optimized with the M-file based optimization techniques
like Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Cuckoo
Search Algorithm, Gravity Search Algorithm, Harmony Search Algorithm
and Bat Algorithm.
Optimized Aircraft Electric Control System Based on Adaptive Tabu Search Algo...ijeei-iaes
Three conventional control constant instantaneous power control, sinusoidal current control, and synchronous reference frame techniques for extracting reference currents for shunt active power filters have been optimized using Fuzzy Logic control and Adaptive Tabu search Algorithm and their performances have been compared. Critical analysis of Comparison of the compensation ability of different control strategies based on THD and speed will be done, and suggestions will be given for the selection of technique to be used. The simulated results using MATLAB model are presented, and they will clearly prove the value of the proposed control method of aircraft shunt APF. The waveforms observed after the application of filter will be having the harmonics within the limits and the power quality will be improved.
Event triggered control design of linear networked systems with quantizationsISA Interchange
This paper is concerned with the control design problem of event-triggered networked systems with both state and control input quantizations. Firstly, an innovative delay system model is proposed that describes the network conditions, state and control input quantizations, and event-triggering mechanism in a unified framework. Secondly, based on this model, the criteria for the asymptotical stability analysis and control synthesis of event-triggered networked control systems are established in terms of linear matrix inequalities (LMIs). Simulation results are given to illustrate the effectiveness of the proposed method.
Artificial Intelligence Technique based Reactive Power Planning Incorporating...IDES Editor
This document summarizes a research paper that proposes using artificial intelligence techniques and FACTS controllers for reactive power planning in real-time power transmission systems. The paper formulates the reactive power planning problem and incorporates flexible AC transmission system (FACTS) devices like static VAR compensators (SVC), thyristor controlled series capacitors (TCSC), and unified power flow controllers (UPFC). Evolutionary algorithms like evolutionary programming (EP) and differential evolution (DE) are applied to find the optimal locations and settings of the FACTS controllers to minimize losses and costs. Simulation results on IEEE 30-bus and 72-bus Indian test systems show that UPFC performs best in reducing losses compared to SVC and TCSC.
Identification and Real Time Control of a DC MotorIOSR Journals
This document presents a method for identifying and controlling a DC motor. It describes an experimental setup using sensors to measure the motor's speed. A parametric estimation method called PEM is used to identify the dynamic model of the motor based on input-output data. The identified model is validated via simulation. Then, an optimal linear quadratic regulator (LQR) controller is designed using the identified model to control the motor's speed and position. Simulations and experiments show the controller is able to track step and square wave position and velocity commands.
STATOR FLUX OPTIMIZATION ON DIRECT TORQUE CONTROL WITH FUZZY LOGIC cscpconf
This document summarizes a research paper that proposes a fuzzy logic based stator flux optimization technique for direct torque control (DTC) drives. The technique uses a fuzzy logic controller to self-regulate the stator flux reference based on the torque error and initial flux value without requiring motor parameters. Simulations show the proposed fuzzy logic approach reduces torque ripple compared to conventional DTC, especially at low loads. Key advantages of the fuzzy approach include improved performance and robustness to parameter changes without motor details.
Power optimisation scheme of induction motor using FLC for electric vehicleAsoka Technologies
In electric vehicles (EVs) and hybrid EVs, energy efficiency is essential where the energy storage is limited. Adding to its high stability and low cost, the induction motor efficiency improves with loss minimisation. Also, it can consume more power than the actual need to perform its working when it is operating in less than full load condition. This study proposes a control strategy based on the fuzzy logic control (FLC) for EV applications. FLC controller can improve the starting current amplitude and saves more power. Through the MATLAB/SIMULINK software package, the performance of this control was verified through simulation. As compared with the conventional proportional integral derivative controller, the simulation schemes show good, high-performance results in time-domain response and rapid rejection of system-affected disturbance. Therefore, the core losses of the induction motor are greatly reduced, and in this way improves the efficiency of the driving system. Finally, the suggested control system is validated by the experimental results obtained in the authors’ laboratory, which are in good agreement with the simulation results.
Automatic Generation Control of Multi-Area Power System with Generating Rate ...IJAPEJOURNAL
In a large inter-connected system, large and small generating stations are synchronously connected and hence all stations must have the same frequency. The system frequency deviation is the sensitive indicator of real power imbalance. The main objectives of AGC are to maintain constant frequency and tie-line errors with in prescribed limit. This paper presents two new approaches for Automatic Generation Control using i) combined Fuzzy Logic and Artificial Neural Network Controller (FLANNC) and ii) Hybrid Neuro Fuzzy Controller (HNFC) with gauss membership functions. The simulation model is created for four-area interconnected power system. In this four area system, three areas consist of steam turbines and one area consists of hydro turbine. The components of ACE, frequency deviation (F) and tie line error (Ptie) are obtained through simulation model and used to produce the required control action to achieve AGC using i) FLANNC and ii) HNFC with gauss membership functions. The simulation results show that the proposed controllers overcome the drawbacks associated with conventional integral controller, Fuzzy Logic Controller (FLC), Artificial Neural Network controller (ANNC) and HNFC with gbell membership functionsv
This document summarizes a research paper that proposes an adaptive PID speed controller for a brushless DC motor. The paper begins with an introduction to brushless DC motors and common speed control methods like PI, PID, fuzzy logic and PWM controllers. It then discusses developing an adaptive PID controller that combines a PID controller with an auto-tuning method. This allows the controller to adapt to changing system parameters. The paper describes modeling the BLDC motor and speed control systems in MATLAB/Simulink. Simulation results are presented and analyzed to verify the adaptive PID controller's performance. The adaptive PID controller is found to improve system adaptability compared to other control methods.
Application of mrac techniques to the pid controller for nonlinear magnetic...Alexander Decker
This document discusses applying model reference adaptive control (MRAC) techniques to a PID controller for a nonlinear magnetic levitation system using a Kalman filter. It proposes using MRAC to adaptively adjust the PID parameters to compensate for nonlinearities and disturbances. The controller parameters are adjusted based on the error between the plant output and a reference model output, as determined by a Kalman filter. The goal is to use this adaptive PID controller to effectively control the nonlinear magnetic levitation system in real-time despite atmospheric disturbances.
A portable hardware in-the-loop device for automotive diagnostic control systemsISA Interchange
In-vehicle driving tests for evaluating the performance and diagnostic functionalities of engine control systems are often time consuming, expensive, and not reproducible. Using a hardware-in-the-loop (HIL) simulation approach, new control strategies and diagnostic functions on a controller area network (CAN) line can be easily tested in real time, in order to reduce the effort and the cost of the testing phase. Nowadays, spark ignition engines are controlled by an electronic control unit (ECU) with a large number of embedded sensors and actuators. In order to meet the rising demand of lower emissions and fuel consumption, an increasing number of control functions are added into such a unit. This work aims at presenting a portable electronic environment system, suited for HIL simulations, in order to test the engine control software and the diagnostic functionality on a CAN line, respectively, through non-regression and diagnostic tests. The performances of the proposed electronic device, called a micro hardware-in-the-loop system, are presented through the testing of the engine management system software of a 1.6 l Fiat gasoline engine with variable valve actuation for the ECU development version.
This paper introduces experimental comparison study between six and four switch inverter fed three phase induction motor drive system. The control strategy of the drive is based on speed sensoreless vector control using model reference adaptive system as a speed estimator. The adaptive mechanism of speed control loop depends on fuzzy logic control. Four switch inverter conFigureurations reduces the cost of the inverter, the switching losses, the complexity of the control algorithms, interface circuits, the computation of real-time implementation, volume-compactness and reliability of the drive system. The robustness of the proposed model reference adaptive system based on four switch three-phase inverter (FSTPI) fed induction motor drive is verified experimentally at different operating conditions. Experimental work is carried using digital signal processor (DSP1103) for a 1.1 kW motor. A performance comparison of the proposed FSTP inverter fed IM drive with a conventional six switch three-phase inverter (SSTP) inverter system is also made in terms of speed response. The results show that the proposed drive system provides a fast speed response and good disturbance rejection capability. The proposed FSTP inverter fed IM drive is found quite acceptable considering its performance, cost reduction and other advantages features.
IRJET- Excitation Control of Synchronous Generator using a Fuzzy Logic based ...IRJET Journal
This document presents a fuzzy logic-based backstepping approach for excitation control of synchronous generators. The backstepping control law is designed using control Lyapunov functions to ensure stability. Fuzzy logic is then used to determine the optimal values for three tuning gains in the backstepping control law. Membership functions are defined based on the CLF boundaries. Fuzzy rules are formulated to map error and change in error inputs to tuning gain outputs. Simulation studies on a single machine infinite bus system evaluate the performance of the proposed controller under two fault conditions, and validate that it improves stability compared to traditional controllers with constant gains.
This document describes a study comparing different speed control methods for a separately excited DC motor using MATLAB simulation. It develops a mathematical model of the DC motor and designs proportional-integral-derivative (PID), internal model control (IMC), and fuzzy logic controllers. It then simulates the performance of each controller and analyzes the step response results. The fuzzy logic controller provided the fastest rise time and lowest overshoot compared to the PID and IMC controllers.
A Novel Technique for Tuning PI-controller in Switched Reluctance Motor Drive...IJECEIAES
This paper presents, an optimal basic speed controller for switched reluctance motor (SRM) based on ant colony optimization (ACO) with the presence of good accuracies and performances. The control mechanism consists of proportional-integral (PI) speed controller in the outer loop and hysteresis current controller in the inner loop for the three phases, 6/4 switched reluctance motor. Because of nonlinear characteristics of a SRM, ACO algorithm is employed to tune coefficients of PI speed controller by minimizing the time domain objective function. Simulations of ACO based control of SRM are carried out using MATLAB /SIMULINK software. The behavior of the proposed ACO has been estimated with the classical Ziegler- Nichols (ZN) method in order to prove the proposed approach is able to improve the parameters of PI chosen by ZN method. Simulations results confirm the better behavior of the optimized PI controller based on ACO compared with optimized PI controller based on classical Ziegler-Nichols method.
Performance Evaluation of GA optimized Shunt Active Power Filter for Constant...ijeei-iaes
Sinusoidal Current Control strategy for extracting reference currents for shunt active power filters have been modified using Genetic Algorithm and its performances have been compared. The acute analysis of Comparison of the compensation capability based on THD and speedwell be done, and recommendations will be given for the choice of technique to be used. The simulated results using MATLAB model are shown, and they will undoubtedly prove the importance of the proposed control technique of aircraft shunt APF.
This document compares the switching behaviors of field oriented control (FOC) and direct torque control (DTC) for induction motors. Experimental tests using a dSpace 1103 controller board show that under no load conditions, FOC produces less torque ripple than DTC. However, the switching frequency of the inverter for a FOC controlled motor is about 75% higher than for a DTC controlled motor. Therefore, DTC may be preferable when fast dynamic performance is critical, while FOC provides better torque quality.
The speed estimation technique of induction machines has become a non-trivial task. For estimating the speed of an induction motor precisely and accurately an optimum state estimator is necessary. This paper deals with the performance analysis of induction motor drives using a recursive, optimum state estimator. This technique uses a full order state space Extended Kalman Filter (EKF) model where the rotor flux, rotor speed and stator currents are estimated. A major challenge with induction motor occurs at very low and at near zero speed. In such cases, information about the rotor parameters with respect to stator side become unobservable while using the synchronously rotating reference frame. To overcome this lost coupling effect, EKF observer linearizes the non-linear parameter in every sampling period and estimates the states and machine parameters simultaneously. The proposed algorithm is tuned to obtain least error in estimated speed. Any error found is further optimized using a non-linear fuzzy controller to obtain improved performance of the drive.
For Induction motor is a system that works at their speed, nevertheless there are applications at which the speed operations are needed. The control of range of speed of induction motor techniques is available. The robust control is used with induction motor and the performance of the system with the controller will be improved. The mathematical model to the controller, which were coded in MATLAB. The modeling and controller will be shown by the conditions of robustness of be less than one.
Modeling and Simulation of power system using SMIB with GA based TCSC controllerIOSR Journals
This document summarizes a study that uses genetic algorithms to tune a thyristor-controlled series compensator (TCSC) controller to improve the stability of a single-machine infinite-bus (SMIB) power system model. The study models the SMIB system and implements a TCSC to damp oscillations. Genetic algorithms are used to optimize the TCSC controller parameters. Simulation results show that the genetically-tuned TCSC controller more effectively damps oscillations compared to the system without a TCSC controller.
Voltage profile Improvement Using Static Synchronous Compensator STATCOMINFOGAIN PUBLICATION
Static synchronous compensator (STATCOM) is a regulating device used in AC transmission systems as a source or a sink of reactive power. The most widely utilization of the STATCOM is in enhancing the voltage stability of the transmission line. A voltage regulator is a FACTs device used to adjust the voltage disturbance by injecting a controllable voltage into the system. This paper implement Nruro-Fuzzy controller to control the STATCOM to improve the voltage profile of the power network. The controller has been simulated for some kinds of disturbances and the results show improvements in voltage profile of the system. The performance of STATCOM with its controller was very close within 98% of the nominal value of the busbar voltage.
Power System State Estimation - A ReviewIDES Editor
This document provides a review of power system state estimation techniques. It discusses both static and dynamic state estimation algorithms. For static state estimation, it covers weighted least squares, decoupled, and robust estimation methods. Weighted least squares is commonly used but can have numerical instability issues. Decoupled state estimation approximates the gain matrix for faster computation. Robust estimation uses M-estimators and other techniques to handle outliers and bad data. Dynamic state estimation applies Kalman filtering, leapfrog algorithms, and other methods to continuously monitor system states over time.
Convergence Parameter Analysis for Different Metaheuristic Methods Control Co...IJPEDS-IAES
This paper is an extension of our previous work, which discussed the
difficulty in implementing different methods of resistance emulation
techniques on the hardware due to its control constant estimation delay. In
order to get rid of the delay this paper attempts to include the meta-heuristic
methods for the control constants of the controller. To achieve the minimum
Total Harmonic Disturbance (THD) in the AC side of the converter modern
meta-heuristic methods are compared with the traditional methods. The
convergence parameters, which are primary for the earlier estimation of the
control constants, are compared with the measured parameters, tabulated and
tradeoff inference is done among the methods. This kind of implementation
does not need the mathematical model of the system under study for finding
the control constants. The parameters considered for estimation are
population size, maximum number of epochs, and global best solution of the
control constants, best THD value and execution time. MatlabTM /Simulink
based simulation is optimized with the M-file based optimization techniques
like Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Cuckoo
Search Algorithm, Gravity Search Algorithm, Harmony Search Algorithm
and Bat Algorithm.
Optimized Aircraft Electric Control System Based on Adaptive Tabu Search Algo...ijeei-iaes
Three conventional control constant instantaneous power control, sinusoidal current control, and synchronous reference frame techniques for extracting reference currents for shunt active power filters have been optimized using Fuzzy Logic control and Adaptive Tabu search Algorithm and their performances have been compared. Critical analysis of Comparison of the compensation ability of different control strategies based on THD and speed will be done, and suggestions will be given for the selection of technique to be used. The simulated results using MATLAB model are presented, and they will clearly prove the value of the proposed control method of aircraft shunt APF. The waveforms observed after the application of filter will be having the harmonics within the limits and the power quality will be improved.
Event triggered control design of linear networked systems with quantizationsISA Interchange
This paper is concerned with the control design problem of event-triggered networked systems with both state and control input quantizations. Firstly, an innovative delay system model is proposed that describes the network conditions, state and control input quantizations, and event-triggering mechanism in a unified framework. Secondly, based on this model, the criteria for the asymptotical stability analysis and control synthesis of event-triggered networked control systems are established in terms of linear matrix inequalities (LMIs). Simulation results are given to illustrate the effectiveness of the proposed method.
Artificial Intelligence Technique based Reactive Power Planning Incorporating...IDES Editor
This document summarizes a research paper that proposes using artificial intelligence techniques and FACTS controllers for reactive power planning in real-time power transmission systems. The paper formulates the reactive power planning problem and incorporates flexible AC transmission system (FACTS) devices like static VAR compensators (SVC), thyristor controlled series capacitors (TCSC), and unified power flow controllers (UPFC). Evolutionary algorithms like evolutionary programming (EP) and differential evolution (DE) are applied to find the optimal locations and settings of the FACTS controllers to minimize losses and costs. Simulation results on IEEE 30-bus and 72-bus Indian test systems show that UPFC performs best in reducing losses compared to SVC and TCSC.
Identification and Real Time Control of a DC MotorIOSR Journals
This document presents a method for identifying and controlling a DC motor. It describes an experimental setup using sensors to measure the motor's speed. A parametric estimation method called PEM is used to identify the dynamic model of the motor based on input-output data. The identified model is validated via simulation. Then, an optimal linear quadratic regulator (LQR) controller is designed using the identified model to control the motor's speed and position. Simulations and experiments show the controller is able to track step and square wave position and velocity commands.
STATOR FLUX OPTIMIZATION ON DIRECT TORQUE CONTROL WITH FUZZY LOGIC cscpconf
This document summarizes a research paper that proposes a fuzzy logic based stator flux optimization technique for direct torque control (DTC) drives. The technique uses a fuzzy logic controller to self-regulate the stator flux reference based on the torque error and initial flux value without requiring motor parameters. Simulations show the proposed fuzzy logic approach reduces torque ripple compared to conventional DTC, especially at low loads. Key advantages of the fuzzy approach include improved performance and robustness to parameter changes without motor details.
Power optimisation scheme of induction motor using FLC for electric vehicleAsoka Technologies
In electric vehicles (EVs) and hybrid EVs, energy efficiency is essential where the energy storage is limited. Adding to its high stability and low cost, the induction motor efficiency improves with loss minimisation. Also, it can consume more power than the actual need to perform its working when it is operating in less than full load condition. This study proposes a control strategy based on the fuzzy logic control (FLC) for EV applications. FLC controller can improve the starting current amplitude and saves more power. Through the MATLAB/SIMULINK software package, the performance of this control was verified through simulation. As compared with the conventional proportional integral derivative controller, the simulation schemes show good, high-performance results in time-domain response and rapid rejection of system-affected disturbance. Therefore, the core losses of the induction motor are greatly reduced, and in this way improves the efficiency of the driving system. Finally, the suggested control system is validated by the experimental results obtained in the authors’ laboratory, which are in good agreement with the simulation results.
Automatic Generation Control of Multi-Area Power System with Generating Rate ...IJAPEJOURNAL
In a large inter-connected system, large and small generating stations are synchronously connected and hence all stations must have the same frequency. The system frequency deviation is the sensitive indicator of real power imbalance. The main objectives of AGC are to maintain constant frequency and tie-line errors with in prescribed limit. This paper presents two new approaches for Automatic Generation Control using i) combined Fuzzy Logic and Artificial Neural Network Controller (FLANNC) and ii) Hybrid Neuro Fuzzy Controller (HNFC) with gauss membership functions. The simulation model is created for four-area interconnected power system. In this four area system, three areas consist of steam turbines and one area consists of hydro turbine. The components of ACE, frequency deviation (F) and tie line error (Ptie) are obtained through simulation model and used to produce the required control action to achieve AGC using i) FLANNC and ii) HNFC with gauss membership functions. The simulation results show that the proposed controllers overcome the drawbacks associated with conventional integral controller, Fuzzy Logic Controller (FLC), Artificial Neural Network controller (ANNC) and HNFC with gbell membership functionsv
This document summarizes a research paper that proposes an adaptive PID speed controller for a brushless DC motor. The paper begins with an introduction to brushless DC motors and common speed control methods like PI, PID, fuzzy logic and PWM controllers. It then discusses developing an adaptive PID controller that combines a PID controller with an auto-tuning method. This allows the controller to adapt to changing system parameters. The paper describes modeling the BLDC motor and speed control systems in MATLAB/Simulink. Simulation results are presented and analyzed to verify the adaptive PID controller's performance. The adaptive PID controller is found to improve system adaptability compared to other control methods.
Application of mrac techniques to the pid controller for nonlinear magnetic...Alexander Decker
This document discusses applying model reference adaptive control (MRAC) techniques to a PID controller for a nonlinear magnetic levitation system using a Kalman filter. It proposes using MRAC to adaptively adjust the PID parameters to compensate for nonlinearities and disturbances. The controller parameters are adjusted based on the error between the plant output and a reference model output, as determined by a Kalman filter. The goal is to use this adaptive PID controller to effectively control the nonlinear magnetic levitation system in real-time despite atmospheric disturbances.
A portable hardware in-the-loop device for automotive diagnostic control systemsISA Interchange
In-vehicle driving tests for evaluating the performance and diagnostic functionalities of engine control systems are often time consuming, expensive, and not reproducible. Using a hardware-in-the-loop (HIL) simulation approach, new control strategies and diagnostic functions on a controller area network (CAN) line can be easily tested in real time, in order to reduce the effort and the cost of the testing phase. Nowadays, spark ignition engines are controlled by an electronic control unit (ECU) with a large number of embedded sensors and actuators. In order to meet the rising demand of lower emissions and fuel consumption, an increasing number of control functions are added into such a unit. This work aims at presenting a portable electronic environment system, suited for HIL simulations, in order to test the engine control software and the diagnostic functionality on a CAN line, respectively, through non-regression and diagnostic tests. The performances of the proposed electronic device, called a micro hardware-in-the-loop system, are presented through the testing of the engine management system software of a 1.6 l Fiat gasoline engine with variable valve actuation for the ECU development version.
This paper introduces experimental comparison study between six and four switch inverter fed three phase induction motor drive system. The control strategy of the drive is based on speed sensoreless vector control using model reference adaptive system as a speed estimator. The adaptive mechanism of speed control loop depends on fuzzy logic control. Four switch inverter conFigureurations reduces the cost of the inverter, the switching losses, the complexity of the control algorithms, interface circuits, the computation of real-time implementation, volume-compactness and reliability of the drive system. The robustness of the proposed model reference adaptive system based on four switch three-phase inverter (FSTPI) fed induction motor drive is verified experimentally at different operating conditions. Experimental work is carried using digital signal processor (DSP1103) for a 1.1 kW motor. A performance comparison of the proposed FSTP inverter fed IM drive with a conventional six switch three-phase inverter (SSTP) inverter system is also made in terms of speed response. The results show that the proposed drive system provides a fast speed response and good disturbance rejection capability. The proposed FSTP inverter fed IM drive is found quite acceptable considering its performance, cost reduction and other advantages features.
IRJET- Excitation Control of Synchronous Generator using a Fuzzy Logic based ...IRJET Journal
This document presents a fuzzy logic-based backstepping approach for excitation control of synchronous generators. The backstepping control law is designed using control Lyapunov functions to ensure stability. Fuzzy logic is then used to determine the optimal values for three tuning gains in the backstepping control law. Membership functions are defined based on the CLF boundaries. Fuzzy rules are formulated to map error and change in error inputs to tuning gain outputs. Simulation studies on a single machine infinite bus system evaluate the performance of the proposed controller under two fault conditions, and validate that it improves stability compared to traditional controllers with constant gains.
This document describes a study comparing different speed control methods for a separately excited DC motor using MATLAB simulation. It develops a mathematical model of the DC motor and designs proportional-integral-derivative (PID), internal model control (IMC), and fuzzy logic controllers. It then simulates the performance of each controller and analyzes the step response results. The fuzzy logic controller provided the fastest rise time and lowest overshoot compared to the PID and IMC controllers.
A Novel Technique for Tuning PI-controller in Switched Reluctance Motor Drive...IJECEIAES
This paper presents, an optimal basic speed controller for switched reluctance motor (SRM) based on ant colony optimization (ACO) with the presence of good accuracies and performances. The control mechanism consists of proportional-integral (PI) speed controller in the outer loop and hysteresis current controller in the inner loop for the three phases, 6/4 switched reluctance motor. Because of nonlinear characteristics of a SRM, ACO algorithm is employed to tune coefficients of PI speed controller by minimizing the time domain objective function. Simulations of ACO based control of SRM are carried out using MATLAB /SIMULINK software. The behavior of the proposed ACO has been estimated with the classical Ziegler- Nichols (ZN) method in order to prove the proposed approach is able to improve the parameters of PI chosen by ZN method. Simulations results confirm the better behavior of the optimized PI controller based on ACO compared with optimized PI controller based on classical Ziegler-Nichols method.
Performance Evaluation of GA optimized Shunt Active Power Filter for Constant...ijeei-iaes
Sinusoidal Current Control strategy for extracting reference currents for shunt active power filters have been modified using Genetic Algorithm and its performances have been compared. The acute analysis of Comparison of the compensation capability based on THD and speedwell be done, and recommendations will be given for the choice of technique to be used. The simulated results using MATLAB model are shown, and they will undoubtedly prove the importance of the proposed control technique of aircraft shunt APF.
This document compares the switching behaviors of field oriented control (FOC) and direct torque control (DTC) for induction motors. Experimental tests using a dSpace 1103 controller board show that under no load conditions, FOC produces less torque ripple than DTC. However, the switching frequency of the inverter for a FOC controlled motor is about 75% higher than for a DTC controlled motor. Therefore, DTC may be preferable when fast dynamic performance is critical, while FOC provides better torque quality.
The speed estimation technique of induction machines has become a non-trivial task. For estimating the speed of an induction motor precisely and accurately an optimum state estimator is necessary. This paper deals with the performance analysis of induction motor drives using a recursive, optimum state estimator. This technique uses a full order state space Extended Kalman Filter (EKF) model where the rotor flux, rotor speed and stator currents are estimated. A major challenge with induction motor occurs at very low and at near zero speed. In such cases, information about the rotor parameters with respect to stator side become unobservable while using the synchronously rotating reference frame. To overcome this lost coupling effect, EKF observer linearizes the non-linear parameter in every sampling period and estimates the states and machine parameters simultaneously. The proposed algorithm is tuned to obtain least error in estimated speed. Any error found is further optimized using a non-linear fuzzy controller to obtain improved performance of the drive.
For Induction motor is a system that works at their speed, nevertheless there are applications at which the speed operations are needed. The control of range of speed of induction motor techniques is available. The robust control is used with induction motor and the performance of the system with the controller will be improved. The mathematical model to the controller, which were coded in MATLAB. The modeling and controller will be shown by the conditions of robustness of be less than one.
Modeling and Simulation of power system using SMIB with GA based TCSC controllerIOSR Journals
This document summarizes a study that uses genetic algorithms to tune a thyristor-controlled series compensator (TCSC) controller to improve the stability of a single-machine infinite-bus (SMIB) power system model. The study models the SMIB system and implements a TCSC to damp oscillations. Genetic algorithms are used to optimize the TCSC controller parameters. Simulation results show that the genetically-tuned TCSC controller more effectively damps oscillations compared to the system without a TCSC controller.
Voltage profile Improvement Using Static Synchronous Compensator STATCOMINFOGAIN PUBLICATION
Static synchronous compensator (STATCOM) is a regulating device used in AC transmission systems as a source or a sink of reactive power. The most widely utilization of the STATCOM is in enhancing the voltage stability of the transmission line. A voltage regulator is a FACTs device used to adjust the voltage disturbance by injecting a controllable voltage into the system. This paper implement Nruro-Fuzzy controller to control the STATCOM to improve the voltage profile of the power network. The controller has been simulated for some kinds of disturbances and the results show improvements in voltage profile of the system. The performance of STATCOM with its controller was very close within 98% of the nominal value of the busbar voltage.
IRJET- Fuzzy Control Scheme for Damping of Oscillations in Multi Machine Powe...IRJET Journal
This document presents a fuzzy logic control scheme to damp oscillations in a multi-machine power system model using Unified Power Flow Controllers (UPFCs). The model consists of three generators connected to a nine bus system with four loads. Two UPFCs are placed between certain buses to control power flow. Fuzzy logic controllers are designed for the UPFCs based on their input-output relationships. Simulation results in MATLAB/Simulink show that the fuzzy logic controlled UPFCs effectively damp low frequency oscillations caused by faults, improving system stability compared to the uncontrolled system.
Power System MIMO Identification for Coordinated Design of PSS and TCSC Contr...Reza Pourramezan
Authors: Reza Pourramezan, Sadegh Vaez-Zadeh, and Hamid Reza Nourzadeh
Published in 2007 IEEE Power Engineering Society General Meeting (PES)
DOI: 10.1109/PES.2007.385692
SRF THEORY BASED STATCOM FOR COMPENSATION OF REACTIVE POWER AND HARMONICSIAEME Publication
The power electronic devices like converters and inverters inject harmonic currents into AC
system due to their non linear characteristics. These devices draw high amount of reactive power
from source. The commencement of Nonlinear Load into the ac power system will have the effect of
harmonics. The presence of harmonics in system it will effected with power quality problems. Due
to this high amount of power losses and disoperation of power electronics devices is caused, along
with this Harmonics have a number of undesirable effects like Voltage disturbances. These
harmonics are needed to mitigate for Power Quality Enhancement in distributed system. Here the
device called STATCOM is one of the FACTS Devices which can be used to mitigate the harmonics
and reactive power compensation. The voltage source converter is core of the STATCOM and the
hysteresis current control is indirect method of controlling of VSC. In this paper we implement with
SRF based STATCOM control. SRF theory is implemented for the generation of controlling
reference current signals for controller of STATCOM. The Matlab\Simulink based model is
developed and simulation results are showed for linear and nonlinear load conditions.
A robust dlqg controller for damping of sub synchronous oscillations in a ser...eSAT Journals
Abstract This paper investigates the use of Discrete Linear Quadratic Gaussian (DLQG) Compensator to damp sub synchronous oscillations in a Thyrisor Controlled Series Capacitor (TCSC) compensated power system. The study is conducted on IEEE First Benchmark Model (FBM) in which, TCSC is modelled as a discrete linear time-invariant modular unit in the synchronously rotating DQ reference frame. This modular TCSC is then integrated with the Linear Time Invariant (LTI) model of the rest of the system. The design of DLQG includes the design of a Kalman filter for full state estimation and a full state feedback for control. Since the order of the controller is as large as the order of the system considered here(27 states), the practical implementation of the controller is difficult. Hence by using Hankels norm approximation technique, the order of the controller is reduced from 27 to 15 without losing the significant system dynamics. The eigen analysis of the system shows that the use of DLQG can damp torsional oscillations as well as the swing mode oscillations simultaneously, which is practically difficult for a conventional sub-synchronous damping controller. The performance of the system with DLQG is appreciable for all operating conditions and it shows the robustness of the controller. Index Terms: Sub-Synchronous Resonance (SSR), Torsional Oscillations, Thyristor Controlled Series Capacitor (TCSC), Discrete Linear Quadratic Gaussian(DLQG)Compensator, Model Order Reduction (MOR).
A robust dlqg controller for damping of sub synchronous oscillations in a se...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Comparison of backstepping, sliding mode and PID regulators for a voltage inv...IJECEIAES
In the present paper, an efficient and performant nonlinear regulator is designed for the control of the pulse width modulation (PWM) voltage inverter that can be used in a standalone photovoltaic microgrid. The main objective of our control is to produce a sinusoidal voltage output signal with amplitude and frequency that are fixed by the reference signal for different loads including linear or nonlinear types. A comparative performance study of controllers based on linear and non-linear techniques such as backstepping, sliding mode, and proportional integral derivative (PID) is developed to ensure the best choice among these three types of controllers. The performance of the system is investigated and compared under various operating conditions by simulations in the MATLAB/Simulink environment to demonstrate the effectiveness of the control methods. Our investigation shows that the backstepping controller can give better performance than the sliding mode and PID controllers. The accuracy and efficiency of the proposed backstepping controller are verified experimentally in terms of tracking objectives.
Power System Stability Enhancement Using FLC and MPC for STATCOMIJERA Editor
In modern power system, Static Compensator (STATCOM) is used to alleviate the transient stability problem
and damping power system oscillations. In this paper different STATCOM control scheme using fuzzy logic
controller (FLC) and model predictive controller (MPC) for the Single Machine Infinite Bus (SMIB) system in
improving transient stability is simulated using MATLAB/ Simulink in power systems block set. PI, FLC and
MPC signals are used to control and exchange the required reactive power among the STATCOM and the power
grid. A load disturbance is simulated and the behavior of the system for voltage fluctuations has been studied.
Simulation results using Proportional-Integral (PI) controller, Fuzzy Logic Controller (FLC) and Model
Predictive Controller (MPC) have been compared. The effectiveness of the different controllers in damping
oscillations and improving power system stability has been discussed.
Power System Stability Enhancement Using FLC and MPC for STATCOMIJERA Editor
In modern power system, Static Compensator (STATCOM) is used to alleviate the transient stability problem
and damping power system oscillations. In this paper different STATCOM control scheme using fuzzy logic
controller (FLC) and model predictive controller (MPC) for the Single Machine Infinite Bus (SMIB) system in
improving transient stability is simulated using MATLAB/ Simulink in power systems block set. PI, FLC and
MPC signals are used to control and exchange the required reactive power among the STATCOM and the power
grid. A load disturbance is simulated and the behavior of the system for voltage fluctuations has been studied.
Simulation results using Proportional-Integral (PI) controller, Fuzzy Logic Controller (FLC) and Model
Predictive Controller (MPC) have been compared. The effectiveness of the different controllers in damping
oscillations and improving power system stability has been discussed.
In this paper, a detail design and description of a predictive current control scheme are adopted for three-phase grid-connected two-level inverter and its application in wind energy conversion systems. Despite its advantages, the predictive current controller is very sensitive to parameter variations which could eventually affected on system stability. To solve this problem, an estimation technique proposed to identify the value of harmonic filter parameter based on Model reference adaptive system (MRAS). Lyapunov stability theory is selected to guarantee a robust adaptation and stable response over large system parameter variation. The simulation results shows the efficiency of the proposed techniques to improve the current tracking performance.
Static Sustenance of Power System Stability Using FLC Based UPFC in SMIB Powe...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Iaetsd fuzzy logic control of statcom for voltage regulationIaetsd Iaetsd
This document describes a new adaptive PI and fuzzy control method for controlling a STATCOM (static synchronous compensator) to regulate voltage in a power system. A STATCOM is a device that can provide fast reactive power support to maintain power system voltage stability. Previous STATCOM control methods often use PI (proportional-integral) controllers but require extensive tuning to determine optimal control parameters. The new adaptive fuzzy and PI control proposed in this document can self-adjust the PI control gains dynamically in response to disturbances, providing consistent performance under different operating conditions without needing retuning. This gives the STATCOM "plug-and-play" capability. The control method is described and its performance advantages over conventional STATCOM control with fixed PI gains are discussed.
The document summarizes research on using a genetic algorithm to optimize the location and parameters of Flexible AC Transmission System (FACTS) devices in a power system. It first introduces FACTS devices and their ability to control power flow. It then describes using a genetic algorithm to simultaneously determine the optimal type, location, and rating of FACTS devices with the objectives of minimizing generation costs and power losses/voltage deviations. The methodology is tested on the IEEE 30-bus system with different FACTS device types. The results indicate the genetic algorithm approach can effectively determine the configuration of FACTS devices that increase system loadability.
Improvements the direct torque control performance for an induction machine u...IJECEIAES
This article examines a solution to the major problems of induction machine control in order to achieve superior dynamic performance. Conventional direct torque control and indirect control with flux orientation have some drawbacks, such as current harmonics, torque ripples, flux ripples, and rise time. In this article, we propose a comparative analysis between previous approaches and the one using fuzzy logic. Results from the simulation show that the direct torque control method using fuzzy logic is more effective in providing a precise and fast response without overshooting, and it eliminates torque and flux fluctuations at low switching frequencies. The demonstrated improvements in dynamic performance contribute to increased operational efficiency and reliability in industrial applications.
A Novel Optimal PI Parameter Tuning Strategy to Improve Constant Switching Pe...IJPEDS-IAES
This paper presents a novel method of optimal Propotional-Intergral (PI)
controller’s parameter tuning strategy in-order to improve the constant
switching performance of 3-phase direct torque control (DTC) shceme. The
DTC sheme is acknowledged to provide fast decoupled control over the
torque output and stator flux via a simple control structure. However, DTC
sheme has two major downsides, which are the inconsistent inverter
switching frequency and high torque output ripple. The main reason that
contributes to these tribulations is the usage of hysteresis comparators in
order to control the output torque. The realization of PI based controller
method as replacement of hyterisis controller in DTC system able to provide
significant solutions to over come the fall back while retaining the simple
control structure of conventional DTC. The combination usage of higher
sampling controller DS1004 and also 3-level cascaded H-bridge multilevel
inverters (CHMI) in this system can further minimize the output torque ripple
by providing higher resolution with lower digital error and greater number of
vectors. This paper presents detail explanation and calculation of optimal PI
parameter tuning strategy consecutively to enhance the performance of 3-
level DTC system. In order to verify the feasibility of the proposed method
experimentation, the proposed method is compared with convention DTC
system via simulation and experiment results.
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
Robust control for a tracking electromechanical systemIJECEIAES
A strategy for the design of robust control of tracking electromechanical systems based on 𝐻∞ synthesis is proposed. Proposed methods are based on the operations on frequency characteristics of control systems designed and developed using the MATLAB robust control toolbox. Determination of the singular values for a transfer matrix of the control system reduces the disturbances and guarantees its stability margin. For selecting the weighted transfer functions, the basic recommendations are formulated. The efficiency of the proposed approach is verified by robust control of an elastically coupled two-mass system whose parameter values are adjusted by matching them with the parameters of one of the supplied robots. The simulation results confirm that the proposed strategy of design of robust control of twomass elastic coupling system using the 𝐻∞ synthesis is very efficient and significantly reduces the perturbation of parameters of the controlled plant.
LIGHTWEIGHT MOBILE WEB SERVICE PROVISIONING FOR THE INTERNET OF THINGS MEDIATIONijujournal
Emerging sensor-embedded smartphones motivated the mobile Internet of Things research. With the
integrated embedded hardware and software sensor components, and mobile network technologies,
smartphones are capable of providing various environmental context information via embedded mobile
device-hosted Web services (MWS). MWS enhances the capability of various mobile sensing applications
such as mobile crowdsensing, real time mobile health monitoring, mobile social network in proximity and
so on. Although recent smartphones are quite capable in terms of mobile data transmission speed and
computation power, the frequent usage of high performance multi-core mobile CPU and the high speed
3G/4G mobile Internet data transmission will quickly drain the battery power of the mobile device.
Although numerous previous researchers have tried to overcome the resource intensive issues in mobile
embedded service provisioning domain, most of the efforts were constrained because of the underlying
resource intensive technologies. This paper presents a lightweight mobile Web service provisioning
framework for mobile sensing which utilises the protocols that were designed for constrained Internet of
Things environment. The prototype experimental results show that the proposed framework can provide
higher throughput and less resource consumption than the traditional mobile Web service frameworks.
SPEED AND TORQUE CONTROL OF AN INDUCTION MOTOR WITH ANN BASED DTCijics
Due to advantages such as fast dynamic response, simple and robust control structure, direct torque
control (DTC) is commonly used method in high performance control method for induction motors. Despite
mentioned advantages, there are some chronically disadvantages with this method like high torque and
current ripples, variable switching behaviour and control problems at low speed rates. On the other hand,
artificial neural network (ANN) based control algorithms are getting increasingly popular in recent years
due to their positive contribution to the system performance. The purpose of this paper is investigating of
the effects of ANN integrated DTC method on induction motor performance by numerical simulations. For
this purpose, two different ANN models have been designed, trained and implemented for the same DTC
model. The first ANN model was designed to select optimum inverter and the second model was designed to
use in the determination of the flux vector position. Matlab/Simulink model of the proposed ANN based
DTC method was created in order to compare with the conventional DTC and the proposed DTC methods.
The simulation studies proved that the induction motor torque ripples have been reduced remarkably with
the proposed method and this approach can be a good alternative to the conventional DTC method for
induction motor control.
This document summarizes a research paper that examines pricing strategy in a two-stage supply chain consisting of a supplier and retailer. The supplier offers a credit period to the retailer, who then offers credit to customers. A mathematical model is formulated to maximize total profit for the integrated supply chain system. The model considers three cases based on the relative lengths of the credit periods offered at each stage. Equations are developed to represent the profit functions for the supplier, retailer and overall system in each case. The goal is to determine the optimal selling price that maximizes total integrated profit.
The document discusses melanoma skin cancer detection using a computer-aided diagnosis system based on dermoscopic images. It begins with an introduction to skin cancer and melanoma. It then reviews existing literature on automated melanoma detection systems that use techniques like image preprocessing, segmentation, feature extraction and classification. Features extracted in other studies include asymmetry, border irregularity, color, diameter and texture-based features. The proposed system collects dermoscopic images and performs preprocessing, segmentation, extracts 9 features based on the ABCD rule, and classifies images using a neural network classifier to detect melanoma. It aims to develop an automated diagnosis system to eliminate invasive biopsy procedures.
This document summarizes various techniques for image segmentation that have been studied and proposed in previous research. It discusses edge-based, threshold-based, region-based, clustering-based, and other common segmentation methods. It also reviews applications of segmentation in medical imaging, plant disease detection, and other fields. While no single technique can segment all images perfectly, hybrid and adaptive methods combining multiple approaches may provide better results. Overall, image segmentation remains an important but challenging task in digital image processing and computer vision.
This document presents a test for detecting a single upper outlier in a sample from a Johnson SB distribution when the parameters of the distribution are unknown. The test statistic proposed is based on maximum likelihood estimates of the four parameters (location, scale, and two shape) of the Johnson SB distribution. Critical values of the test statistic are obtained through simulation for different sample sizes. The performance of the test is investigated through simulation, showing it performs well at detecting outliers when the contaminant observation represents a large shift from the original distribution parameters. An example application to census data is also provided.
This document summarizes a research paper that proposes a portable device called the "Disha Device" to improve women's safety. The device has features like live location tracking, audio/video recording, automatic messaging to emergency contacts, a buzzer, flashlight, and pepper spray. It is designed using an Arduino microcontroller connected to GPS and GSM modules. When the button is pressed, it sends an alert message with the woman's location, sets off an alarm, activates the flashlight and pepper spray for self-defense. The goal is to provide women a compact, one-click safety system to help them escape dangerous situations or call for help with just a single press of a button.
- The document describes a study that constructed physical fitness norms for female students attending social welfare schools in Andhra Pradesh, India.
- Researchers tested 339 students in classes 6-10 on speed, strength, agility and flexibility tests. Tests included 50m run, bend and reach, medicine ball throw, broad jump, shuttle run, and vertical jump.
- The results showed that 9th class students had the best average time for the 50m run. 10th class students had the highest flexibility on average. Strength and performance generally improved with increased class level.
This document summarizes research on downdraft gasification of biomass. It discusses how downdraft gasifiers effectively convert solid biomass into a combustible producer gas. The gasification process involves pyrolysis and reactions between hot char and gases that produce CO, H2, and CH4. Downdraft gasifiers are well-suited for biomass gasification due to their simple design and ability to manage the gasification process with low tar production. The document also reviews previous studies on gasifier configuration upgrades and their impact on performance, and the principles of downdraft gasifier operation.
This document summarizes the design and manufacturing of a twin spindle drilling attachment. Key points:
- The attachment allows a drilling machine to simultaneously drill two holes in a single setting, improving productivity over a single spindle setup.
- It uses a sun and planet gear arrangement to transmit power from the main spindle to two drilling spindles.
- Components like gears, shafts, and housing were designed using Creo software and manufactured. Drill chucks, bearings, and bits were purchased.
- The attachment was assembled and installed on a vertical drilling machine. It is aimed at improving productivity in mass production applications by combining two drilling operations into one setup.
The document presents a comparative study of different gantry girder profiles for various crane capacities and gantry spans. Bending moments, shear forces, and section properties are calculated and tabulated for 'I'-section with top and bottom plates, symmetrical plate girder, 'I'-section with 'C'-section top flange, plate girder with rolled 'C'-section top flange, and unsymmetrical plate girder sections. Graphs of steel weight required per meter length are presented. The 'I'-section with 'C'-section top flange profile is found to be optimized for biaxial bending but rolled sections may not be available for all spans.
This document summarizes research on analyzing the first ply failure of laminated composite skew plates under concentrated load using finite element analysis. It first describes how a finite element model was developed using shell elements to analyze skew plates of varying skew angles, laminations, and boundary conditions. Three failure criteria (maximum stress, maximum strain, Tsai-Wu) were used to evaluate first ply failure loads. The minimum load from the criteria was taken as the governing failure load. The research aims to determine the effects of various parameters on first ply failure loads and validate the numerical approach through benchmark problems.
This document summarizes a study that investigated the larvicidal effects of Aegle marmelos (bael tree) leaf extracts on Aedes aegypti mosquitoes. Specifically, it assessed the efficacy of methanol extracts from A. marmelos leaves in killing A. aegypti larvae (at the third instar stage) and altering their midgut proteins. The study found that the leaf extract achieved 50% larval mortality (LC50) at a concentration of 49 ppm. Proteomic analysis of larval midguts revealed changes in protein expression levels after exposure to the extract, suggesting its bioactive compounds can disrupt the midgut. The aim is to identify specific inhibitor proteins in the midg
This document presents a system for classifying electrocardiogram (ECG) signals using a convolutional neural network (CNN). The system first preprocesses raw ECG data by removing noise and segmenting the signals. It then uses a CNN to extract features directly from the ECG data and classify arrhythmias without requiring complex feature engineering. The CNN architecture contains 11 convolutional layers and is optimized using techniques like batch normalization and dropout. The system was tested on ECG datasets and achieved classification accuracy of over 93%, demonstrating its effectiveness at automated ECG classification.
This document presents a new algorithm for extracting and summarizing news from online newspapers. The algorithm first extracts news related to the topic using keyword matching. It then distinguishes different types of news about the same topic. A term frequency-based summarization method is used to generate summaries. Sentences are scored based on term frequency and the highest scoring sentences are selected for the summary. The algorithm was evaluated on news datasets from various newspapers and showed good performance in intrinsic evaluation metrics like precision, recall and F-score. Thus, the proposed method can effectively extract and summarize online news for a given keyword or topic.
Generative AI Use cases applications solutions and implementation.pdfmahaffeycheryld
Generative AI solutions encompass a range of capabilities from content creation to complex problem-solving across industries. Implementing generative AI involves identifying specific business needs, developing tailored AI models using techniques like GANs and VAEs, and integrating these models into existing workflows. Data quality and continuous model refinement are crucial for effective implementation. Businesses must also consider ethical implications and ensure transparency in AI decision-making. Generative AI's implementation aims to enhance efficiency, creativity, and innovation by leveraging autonomous generation and sophisticated learning algorithms to meet diverse business challenges.
https://www.leewayhertz.com/generative-ai-use-cases-and-applications/
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
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IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
76201978
1. International Journal of Research in Advent Technology, Vol.7, No.6, June 2019
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Abstract— The selection of Static Synchronous
Compensator (STATCOM) control input along with the
appropriate optimized feedback controller is an current
challenge in the present scenario of power system network.
Hence, in this paper the optimal control techniques are
proposed for the STATCOM phillips heffron model in
various combinations such as individual, coordinated and
switching between individual control inputs. The simulation
results of all the proposed optimal control approaches are
compared for the slection of best optimal control approach of
the STATCOM model to damp the oscillations in power
sytem.
Index Terms— LQR, Switching Control, STATCOM &
Power System.
I. INTRODUCTION
Latest development of power electronics has introduced
Flexible AC Transmission Systems (FACTS) controllers to
damp the oscillations, enhance power system stability, etc in
power system. The STATCOM is family of FACTS device
connected in shunt type as shown in Figure 1. The primary
function of STATCOM is to support bus voltage by injecting
or observing reactive power. In addition to the primary
function STATCOM also improves the power system
stability by damping oscillations.
Figure 1: STATCOM connected to SMIB in power system
Manuscript revised June 9, 2019 and published on July 10, 2019
Sai Shankar, PhD scholar, Electrical Engineering, Visvesvaraya
Technological University, India
Yathisha L, Associate Professor, Electronics & Communication
Engineering, ATME College of Engineering, Mysore, India.
K T Veeramanju, Professor in Sri Jayachamarajendra College of
Engineering (SJCE), Mysore, India.
(Mohammad Reza Safari Tirtashi & Ahmad Rohani et al.
2010) proposed fuzzy logic controller for Power System
Stabilizer (PSS) & STATCOM FACTS device for three
operating conditions (light, nominal & heavy loads) in power
sytem. The simulation results provides good dynamic
damping characteristics over wide ranges of operating
condition. To increase the transient stability in power sytem
(V Rajkumar & Srihari Dattabhimaraju P et al.2013)
introduced Artificial Neural Network (ANN) controller for
the STATCOM SMIB model and the results indicates that the
proposed control provides better damping of oscillations.
(Sangram Keshori Mohapatra & Nanda Kishore Ray
et al. 2012) for the improvement of power system stability
investigated the optimization technique using Differential
Evaluation (DE) algorithm for the STATCOM based
damping controller in power system. The remote and local
signals are applied for the system to evaluate the proposed
controller and the results revael that the remote signal with
time delay is better compared to local signal.
(Sangram Keshori Mohapatra & Sidhartha Panda et
al.2013) presents the power system stability improvemnt
using STATCOM based damping controller. The
performance of the proposed controller is evaluated under
different disturbances for both single-machine infinite bus
power system and multimachine power system. State
feedback control approach to the single infinite bus machine
and multimachine systems is proposed by (A.U. Lawan et al.
2014) and the effectiveness of the proposed control method is
compared themselves by applying various disturbances. (M
Chandanpraneeth & G Manohar et al. 2018) presents an
novel approach to determine the controller parameters of
Prportional Integral Derivative (PID) control and Fuzzy
Logic design. The simulation results reveal that the proposed
controllers obtain high quality solution with good
computation efficiency.
(Morteza Haghshenas & Mohammad Hajibabaee at
al. 2016) introduced modified shuffled frog leaping
algorithm (MSFLA) for optimal selection of STATCOM
damping controller parameters, in order to shift the closed
loop eigenvalues toward the desired stability region. The
experiment is performed for SMIB and the simulation results
shows the better performance compared to conventional
control techniques. The coordinated control of automatic
voltage regulator of synchronous generator and static
synchronous compensator in multi-machine power systems is
introduced by (Bangjun Lei & Shumin Fei et al. 2014) and
pseudo-generalized Hamiltonian theory is used to design the
controllers of STATCOM and AVR coordinately. The
simulation results indicates the better performance compared
to earlier conventional control techniques.
Design of Optimal Control Techniques For STATCOM
Control Inputs in Power System
Sai Shankar, Yathisha L and K T Veeramanju
2. International Journal of Research in Advent Technology, Vol.7, No.6, June 2019
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Switched systems are combination of group of sub
systems combined to form a new property of system, which is
not present in any of the subsystems. (Zhi Hong Huang &
Cheng Xiang et al. 2007) investigated the necessary and
sufficient conditions for stability of arbitrary switched second
order linear time invariant (LTI) systems. Performance based
switching algorithm for LTI systems based on Lyapunov
stability criteria was developed by (Lalitha et al. 2005 &
2006). Switching control strategy was proposed for the
UPFC, based on three scenarios involving high, low and
normal load conditions by (Yathisha L et al. 2017).
In summary, a single optimized control input of
STATCOM will not be suitable over entire dynamic range of
applications of today’s complex power system.
Hence, in the present work, Optimal Linear
Quadratic Regulator (LQR) feedback control techniques are
applied for STATCOM control inputs Deviation in Pulse
Wodth Modulation Index ( ) & Deviation in Phase Angle
) of shunt inverters in various combinations such as
individually, coordinated & switching between individual
control inputs. The proposed optimal control techniques are
simulated using MATLAB/SIMULINK @ platform. Finally,
the results are compared with respect to optimization
(performace index ∫ ), peak overshoots & settling
time to draw the relevant conclusion.
The remainder of the paper is organized as follows.
Section 2 describes Linear Time Invariant (LTI) model of
power system istalled with STATCOM. Optimal control
theory, switched linear control theory and Experimental
cases are respectively discussed in Sections 3 and 4.
Simulation results and discussions are presented in Section 5.
Section 6 concludes the paper.
II. Dynamic Model of Power System installed
with STATCOM
The linearised Phillips-Heffron model of a power
system installed with a static synchronous compensator
(STATCOM) demonstrates the application of the state space
model in analysing the damping effect of the STATCOM and
designing a STATCOM stabilizer to improve power system
oscillation stability.
Its state space formulation can be expressed as
follows:
̇ (1)
[ ]
[ ]
[ ]
[ ]
Where, the state variables are the rotor angle
deviation ( ), rotor speed deviation ( ), q-axis component
deviation ( ) and field voltage deviation ( ).
III. OPTIMAL CONTROL THEORY
Finding the controller gain by optimizing the
control and output energy is defined as optimal control. The
most popular optimal control theory is Linear Quadratic
Regulator (LQR) Algorithm and this tool is used for the
current research to find the controller gains for the
STATCOM connected power system model. A brief
expalanation of LQR is as follows (Yathisha L and S Patil
Kulkarni et al. 2013; Yathisha L and S Patil Kulkarni et al.
2015; Yathisha L and S Patil Kulkarni et al. 2017):
The Linear time invariant system is given by,
̇ (2)
(3)
The closed loop system with negative feedback is
represented by,
̇ (4)
The performance index which is given by,
∫
(5)
The aim of the LQR problem is to design a control
law by minimizing the objective function with
the solution given by,
(6)
3. International Journal of Research in Advent Technology, Vol.7, No.6, June 2019
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Thus the control law as
(7)
In which must satisfy the reduced Riccati
equation:
(8)
By using the MATLAB command lqr the algebraic
riccatti equation is computed.
[ ]
IV. SWITCHING CONTROL TECHNIQUES
Switched systems are a class of Hybrid Systems
(HS) which consist of several subsystems that switch
according to a given switching law. Fig. 2, shows the general
switched linear systems.
Figure 2: General Switched Linear Systems
A. Advantages of Switching Control:
• Switching between two feedback control structure is to
select the best control structure for the particular application.
• If any of the component failure in one of the control
structure, the switching supervisor will take care of the same
and alternate control will be in place.
• Switching between two control inputs will combine the
properties of both control structures and results in new
control structure which will not present in any of the two
individual control structures.
A switched-linear system model for the current
research is as follows:
̇ (9)
The switching signal indicates
̇ (10)
(11)
Where,
and
Here, = & = and the feedback
controllers & are derived from the optimal LQR
control theory by tuning the weighting matrices.
B. Switching Control Algorithm:
The existing switching algorithm by (Lalitha S
Devarakond et al. 2006; Yathisha L et al. 2018) is as follows:
• Define the two closed loop systems & .
• Determine by solving the algebraic Lyapunov
Equation:
• Using, define the switching matrix:
• Now, the switching rule is,
V. EXPERIMENTAL SET-UP
The numerical values of the & matrices of the
system considered for the experiment (Sai Shanksr &
Yathisha L et al. 2018) is as follows:
[ ]
[ ] [ ]
The proposed optimal LQR control techniques for
the two STATCOM control inputs ( & ) are
experimented by considering the following cases:
Case I.(i): Optimal LQR feedback controller is
designed for the control input .
4. International Journal of Research in Advent Technology, Vol.7, No.6, June 2019
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doi: 10.32622/ijrat.76201978
[ ]
Case I.(ii): Optimal LQR feedback controller is
designed for the control input .
[ ]
Case I.(iii): Optimal switching control technique is
proposed for the control input . The controller gains &
are defined by tuning the weighting matrices. The
switching matrices ( ) for the state variables & along
with & are give by,
[ ]
[ ]
[ ]
[ ]
Case I.(iv): Optimal switching control technique is
proposed for the control input . The controller gains &
are defined by tuning the weighting matrices. The
switching matrices ( ) for the state variables & along
with & are give by,
[ ]
[ ]
[ ]
[ ]
Case II: Optimal LQR feedback controller is
designed for the coordinated control input [ ].
[ ]
Case III: Switching Between the two STATCOM
control inputs ( ) / ( ) are considered for this case.
The switching matrices ( ) for the current case is as
below,
[ ]
[ ]
In order for & corresponding to their &
they are modified and defined are shown in Table I.
Table 1: Modified controller gains for switching
[ ] /
[ ]
[ ]
[ ]
[ ]
VI. SIMULATION RESULTS
The simulations are carried for all the proposed
three cases to compare the results to select the best approach
of control technique in future for the sate variables rotor
angle & rotor speed deviations. Fig’s 3-4, shows the
responses of rotor angle deviation ( ) & rotor speed
deviation ( ) state variables for the Case I (i), Case I (ii),
Case II & Case III. Case I (iii) & Case I (iv) responses of state
variables & are shown from Fig’s 5-8. The
optimization (performance index ∫ ) is tabulated
for all the cases and depicted in tables II-IV.
The results of Case I (i), Case I (ii), Case II & Case
III (Fig’s 3-4) and Tables II, reveal that for the state variable
rotor angle deviation ( ) the coordinated design of two
STATCOM control inputs ( ) of case II, along with
the optimal LQR control provides better performance
compared to other cases of individual control inputs as well
as switching between two control inputs. For, the rotor speed
deviation ( ) the switching between two STATCOM
control inputs (Switch ) provides good damping as
well as better optimization compared to all other cases.
The simulation results depicted in Fig’s 5-7 (Case I (iii) &
Case I (iv)) for the two STATCOM control inputs, indicates
for the first state variable switching between two optimal
LQR feedback controllers will select the better individual
feedback controller and for the second state variable
switching between two feedback controllers shows improved
performance in damping as well as optimization compared to
using individual feedback control structures for both the
STATCOM control inputs ( ).
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Figure 3: Rotor Angle Deviation Responses
Figure 4: Rotor Speed Deviation Responses
Figure 5: Rotor Angle Deviation Responses for
Case III Control Input
Figure 6: Rotor Speed Deviation Responses for Case III
Control Input
Figure 7: Rotor Angle Deviation Responses for
Case III Control Input
Figure 8: Rotor Speed Deviation Responses for Case III
Control Input
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Table 2: Comparison of performance index ( ∫ )
Cases
Case I (i) 1.437 1.506
Case I (ii) 0.09738 0.09293
Case II 0.1259 0.05442
Case III 0.191 0.04434
Table 3: Comparison of performance index ( ∫ )
for Case I (iii)
Controller
0.9865 9.199
0.0108 9.662
Switch / 0.0108 4.805
Table 4: Comparison of performance index ( ∫ )
for Case I (iv)
Controller
1.568 1.678
0.01537 4.214
Switch / 0.01537 3.254
VII. CONCLUSION
In today’s complicated power system network, the
use of single controller or single STATCOM control input is
not sufficient to reduce the peak overshoots and damping
oscillations. Hence, in this paper the two STATCOM control
inputs are effectively utilized in various combinations such as
individual, coordinated and switching between two
STATCOM control inputs. The feedback controllers are
derived for each case using optimal LQR control techniques.
The simulation results of all the various combinations
concludes that for the state variable rotor angle deviation
( ) the coordinated control design of STATCOM control
inputs + provides good damping and for the state
variable rotor speed deviation the switching between two
STATCOM control inputs provides better damping
compared to all other approaches various control approaches.
REFERENCES
[1] Mohammad Reza Safari Tirtashi, Ahmad Rohani and Reza Noroozian,
“PSS and STATCOM Controller Design for Damping Power System
Oscillations Using Fuzzy Control Strategies", Proceedings of 18th
Iranian Conference on Electrical Engieering, IEEE Xplore, 11th to
13th May 2010, pp. 901-906.
[2] V Rajkumar and Srihari Dattabhimaraju, “ANN Controlled STATCOM
for Improving Transient Stability of the Power System", International
Journal of Engineering Research & Technology (IJERT), Vol. 2 Issue
2, February 2013, pp. 1-5, ISSN: 2278-0181.
[3] Sangram Keshori Mohapatra, Nanda Kishore Ray and Subrunsu Kulia,
“Power System Stability Improvements Using Differential Evaluation
Algorithm Based Controller for STATCOM", International Journal of
Scientific and Research Publications, Volume 2, Issue 12, December
2012, pp. 1-6, ISSN 2250-3153.
[4] Sangram Keshori Mohapatra, Sidhartha Panda and Prasant Kumar
Satpathy, “STATCOM based Damping Controller in Power Systems
for Enhance the Power System Stability", World Academy of Science,
Engineering and Technology International Journal of Electrical and
Computer Engineering Vol 7, No 2, 2013, pp. 174-183.
[5] A.U. Lawan, “State Feedback Approaches for Designing A Statcom
Supplementary Controller for Oscillations Damping", The
International Journal Of Engineering And Science (IJES), Volume 3,
Issue 7, pp. 27-37, 2014, ISSN : 2319- 1813.
[6] Mukku Chandanpraneeth and Dr. T. Gowri Manohar, “Design and
Analysis of Fuzzy & GA-PID Controllers for Optimized Performance
of STATCOM", International Research Journal of Engineering and
Technology (IRJET), Vol. 5, Issue 8, Aug 2018, pp. 1539- 1545.
[7] Morteza Haghshenas, Mohammad Hajibabaee and Mahmoud Ebadian,
“Controller Design of STATCOM Using Modified Shuffled Frog
Leaping Algorithm for Damping of Power System Low Frequency
Oscillations", International Journal of Mechatronics, Electrical and
Computer Technology (IJMEC), Vol. 16, Issue 19, Jan 2016, pp.
2786-2799.
[8] Bangjun Lei, Shumin Fei and Junyong Zhai, “Coordinated control of
static synchronous compensator and automatic voltage regulator in
multi-machine power systems using pseudo-generalized Hamiltonian
theory", Journal of Systems and Control Engineering, Institution of
Mechanical Engineers, Vol. 228, Issue 3, pp. 154-166.
[9] Z H Huang and C Xiang, “ A necessary and sufficient condition for
stability of arbitrarily switched second-order LTI System: Marginally
stable case", Proceedings of the 22nd IEEE International Symposium
on Intelligent Control, Part of IEEE Multiconference on Systems and
Control, Singapore: IEEE, 2007. pp. 83-88.
[10] Lalitha S. Devarakonda “Performance Based Switching Control for
Single Input LTI Systems", M.S. Thesis, Department of Electrical
Engineering, Graduate Faculty of the Louisiana State University and
Agricultural and Mechanical College Dec 2005.
[11] Jorge L. Aravena and Lalitha Devarakonda, “Performance Driven
Switching Control", IEEE Transactions on Industrial Electronics,
2006, July 9-12, 2006, pp. 31-36.
[12] Yathisha L, Kourosh Davoodi and S Patil Kulkarni “Optimal switching
control strategy for UPFC for wide range of operating conditions in
power system", 3rd Indian Control Conference, IEEE Xplore, Jan
2017, Indian Institute of Technology (IIT), Guwhati, pp 225-232.
DOI:10.1109/INDIANCC.2017.7846479.
[13] Yathisha L and S Patil Kulkarni “Optimum LQR Switching Approach
for the Improvement of STATCOM Performance", Springer LNEE,
Vol 150, E-ISSN: 1876-1100, 2013, pp. 259-266, DOI:
10.1007/978-1-4614-3363-7_28.
[14] Yathisha L and S Patil Kulkarni “Application and comparison of
switching control algorithms for power system stabilizer", IEEE
International Conference on Industrial Instrumentation and Control
(ICIC), IEEE Xplore, May 2015, Pune, pp 1300-1305.
DOI:10.1109/IIC.2015.7150949.
AUTHORS PROFILE
Sai Shankar received his Masters Degree in
VLSI Design and Embedded Systems from
SJCE, Visvesvaraya Technological University in
the year 2013. Presently he is working towards
Doctoral Degree in Electrical Engineering, in the
field of control systems in the prestigious
Visvesvaraya Technological University, India.
He has been worked as an Asst Professor in
GSSS Institute of Engineering and Technology Mysore, since 2005
to 2017. His areas of interests are Power Systems, Control Systems
and Hybrid Control Systems.
Yathisha L. received his Doctoral Degree in
Control Systems & Master’s Degree in
Industrial Electronics from SJCE,
Visvesvaraya Technological University
(VTU) in the year 2017 & 2010 respectively.
Since 2012 he is working as an Associate
Professor in the Department of Electronics &
Communication Engineering, ATME College
of Engineering, Mysore, India. His areas of interests are Control
Systems, Power Systems and Hybrid Control Systems. e-mail:
yathisha.171@gmail.com
7. International Journal of Research in Advent Technology, Vol.7, No.6, June 2019
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K T Veeramanju recieved his Master’s
Degree from Indian Institute of Science
(IISC), Bangalore in the year 1992 and
Obtained Ph.D. degree from Kuvempu
University in the year 2007. He is
currently a Professor in Sri
Jayachamarajendra College of
Engineering (SJCE), Mysore. His research
interests includes Power Systems, Control
Systems, Hybrid & Stochastic control systems.