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.
Hardware-in-the-loop based comparative analysis of speed controllers for a tw...journalBEEI
A comparative study of speed control performance of an induction motor drive system connecting to a load via a non-rigid shaft. The nonrigidity of the coupling is represented by stiffness and damping coefficients deteriorating speed regulating operations of the system and can be regarded as a two-mass system. In the paper, the ability of flatness based and backstepping controls in control the two-mass system is verified through comprehensive hardware-in-the-loop experiments and with the assumption of ideal stator current loop performance. Step-by-step control design procedures are given, in addition, system responses with classical PID control are also provided for parallel comparisons.
IRJET- Control of Induction Motor using Neural NetworkIRJET Journal
This document describes research into using neural networks to control induction motors. It begins by introducing the topic and noting limitations of traditional PI controllers for induction motor control. It then provides details on the experimental setup, which uses an artificial neural network (ANN) to mimic a PI controller for speed control of an induction motor drive system. Simulation results are presented comparing the performance of the ANN controller to a traditional PI controller under different dynamic operating conditions. The document concludes that the ANN mapping controller provides superior performance to the PI controller.
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.
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.
Speed Control of Dual Induction Motor using Fuzzy Controller IOSR Journals
This document describes a study on controlling the speed of dual induction motors using a fuzzy logic controller. It presents the modeling of a dual induction motor system with a single inverter driving both motors. It describes calculating a weighted vector value based on the summation torque and stator current of the motors to control their speeds under unbalanced load conditions. The study implements this control method using a fuzzy logic controller in MATLAB simulations. The results show the fuzzy controller improves speed control of the dual induction motors compared to a PI controller, with less oscillation and faster steady state response.
Model Validation and Control of an In-Wheel DC Motor Prototype for Hybrid El...Scientific Review SR
In this paper, a mathematical model and a controller for a DC motor are developed for the
construction of an in-wheel motor. In-wheel motors can be used in hybrid electric vehicles to provide traction
force of front or rear wheels. The model identification is achieved using a simple and low cost data acquisition
system. An Arduino Uno embedded board system is used to collect data from sensors to a computer and for
control purposes. Data processing is performed using Matlab/Simulink. Validations of the devel oped
mathematical model and controller performance are carried out by comparing simulation and experimental results.
The results obtained show that the mathematical model is accurate enough to assist in speed controller design and
implementation.
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.
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.
Hardware-in-the-loop based comparative analysis of speed controllers for a tw...journalBEEI
A comparative study of speed control performance of an induction motor drive system connecting to a load via a non-rigid shaft. The nonrigidity of the coupling is represented by stiffness and damping coefficients deteriorating speed regulating operations of the system and can be regarded as a two-mass system. In the paper, the ability of flatness based and backstepping controls in control the two-mass system is verified through comprehensive hardware-in-the-loop experiments and with the assumption of ideal stator current loop performance. Step-by-step control design procedures are given, in addition, system responses with classical PID control are also provided for parallel comparisons.
IRJET- Control of Induction Motor using Neural NetworkIRJET Journal
This document describes research into using neural networks to control induction motors. It begins by introducing the topic and noting limitations of traditional PI controllers for induction motor control. It then provides details on the experimental setup, which uses an artificial neural network (ANN) to mimic a PI controller for speed control of an induction motor drive system. Simulation results are presented comparing the performance of the ANN controller to a traditional PI controller under different dynamic operating conditions. The document concludes that the ANN mapping controller provides superior performance to the PI controller.
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.
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.
Speed Control of Dual Induction Motor using Fuzzy Controller IOSR Journals
This document describes a study on controlling the speed of dual induction motors using a fuzzy logic controller. It presents the modeling of a dual induction motor system with a single inverter driving both motors. It describes calculating a weighted vector value based on the summation torque and stator current of the motors to control their speeds under unbalanced load conditions. The study implements this control method using a fuzzy logic controller in MATLAB simulations. The results show the fuzzy controller improves speed control of the dual induction motors compared to a PI controller, with less oscillation and faster steady state response.
Model Validation and Control of an In-Wheel DC Motor Prototype for Hybrid El...Scientific Review SR
In this paper, a mathematical model and a controller for a DC motor are developed for the
construction of an in-wheel motor. In-wheel motors can be used in hybrid electric vehicles to provide traction
force of front or rear wheels. The model identification is achieved using a simple and low cost data acquisition
system. An Arduino Uno embedded board system is used to collect data from sensors to a computer and for
control purposes. Data processing is performed using Matlab/Simulink. Validations of the devel oped
mathematical model and controller performance are carried out by comparing simulation and experimental results.
The results obtained show that the mathematical model is accurate enough to assist in speed controller design and
implementation.
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.
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.
Comparison of dc motor speed control performance using fuzzy logic and model ...Mustefa Jibril
1) The document compares the performance of controlling the speed of a DC motor using fuzzy logic and model predictive control (MPC) methods.
2) Simulation results show that the DC motor controlled with a fuzzy logic controller had less overshoot and faster settling time when tracking speed setpoints compared to the motor controlled with an MPC controller.
3) For both square wave and white noise speed setpoints, the MPC controller resulted in higher overshoot and longer settling times than the fuzzy logic controller.
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.
This document presents research on sensorless speed control of an induction motor using predictive current and torque controllers. It begins with an abstract summarizing the research, which involves using a closed-loop observer system and predictive controllers to control an induction motor drive without requiring direct measurement of motor speed or flux. The document then provides background information on sensorless induction motor control and challenges associated with it. It describes the proposed control system, which uses a closed-loop observer to estimate motor flux and speed, along with a predictive current controller and predictive torque controller. Simulation results are presented confirming the effectiveness of the proposed sensorless control approach.
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.
Simulation and Analysis of Modified DTC of PMSMIJECEIAES
This research paper describes the simulation and analysis of the modified DTC for Surface mounted Permanent Magnet Synchronous Motor (SPMSM) using PI controller. Among all of the various drive systems,PMSM is widely used for accurate speed and torque control, with greater efficiency, superior torque to inertia and high power density.The Conventional DTC secheme widely used for this purpose but it is failed to achieve desirable performance of the system for which the modified DTC secheme is propsed.The modified DTC algorithm controls the voltage vectors, directly from a simple look up table depending on outcome of the torque and indirectly flux controllers.The overall drive system can be implemented in SIMULINK/MATLAB environment.The modified DTC is validated with loading conditions.The simulated results are focused on the speed, settling time at loaded conditions, torque and flux linkages ripple and THD in the phase current for modified DTC applied to SPMSM.
This document summarizes a study that simulated the performance of a brushless direct current (BLDC) motor for use in an electrical system for an energy-efficient car. The simulation was conducted using Simulink MATLAB and showed that a BLDC motor producing 30 Nm of torque and 960 W of power at speeds of 100-900 rpm meets the design needs for an electric vehicle. The document discusses the regulations for the national Kontes Mobil Hemat Energi competition in Indonesia and the methods used in the simulation, including a proportional-integral-derivative control system.
Speed controller design for three-phase induction motor based on dynamic ad...IJECEIAES
Three-phase induction motor (TIM) is widely used in industrial application like paper mills, water treatment and sewage plants in the urban area. In these applications, the speed of TIM is very important that should be not varying with applied load torque. In this study, direct on line (DOL) motor starting without controller is modelled to evaluate the motor response when connected directly to main supply. Conventional PI controller for stator direct current and stator quadrature current of induction motor are designed as an inner loop controller as well as a second conventional PI controller is designed in the outer loop for controlling the TIM speed. Proposed combined PI-lead (CPIL) controllers for inner and outer loops are designed to improve the overall performance of the TIM as compared with the conventional controller. In this paper, dynamic adjustment grasshopper optimization algorithm (DAGOA) is proposed for tuning the proposed controller of the system. Numerical results based on well-selected test function demonstrate that DAGOA has a better performance in terms of speed of convergence, solution accuracy and reliability than SGOA. The study results revealed that the currents and speed of TIM system using CPIL-DAGOA are faster than system using conventional PI and CPIL controllers tuned by SGOA. Moreover, the speed controller of TIM system with CPIL controlling scheme based on DAGOA reached the steady state faster than others when applied load torque.
Type 1 versus type 2 fuzzy logic speed controllers for brushless DC motors IJECEIAES
This work presented two fuzzy logic (FL) schemes for speed-controlled brushless DC motors. The first controller is a Type 1 FL controller (T1FLC), whereas the second controller is an interval Type 2 FL controller (IT2FLC). The two proposed controllers were compared in terms of system dynamics and performance. For a fair comparison, the same type and number of membership functions were used for both controllers. The effectiveness of the structures of the two FL controllers was verified through simulation in MATLAB/SIMULINK environment. Simulation result showed that IT2FLC exhibited better performance than T1FLC.
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.
A Lyapunov Based Approach to Enchance Wind Turbine Stabilityijeei-iaes
This paper introduces a nonlinear control of a wind turbine based on a Double Feed Induction Generator. The Rotor Side converter is controlled by using field oriented control and Backstepping strategy to enhance the dynamic stability response. The Grid Side converter is controlled by a sliding mode. These methods aim to increase dynamic system stability for variable wind speed. Hence, The Doubly Fed Induction Generator (DFIG) is studied in order to illustrate its behavior in case of severe disturbance, and its dynamic response in grid connected mode for variable speed wind operation. The model is presented and simulated under Matlab/ Simulink.
This document describes using a fuzzy logic controller and PID controller to control the speed of a DC motor. It first provides background on DC motors and controllers. It then discusses the design of a fuzzy logic controller for a DC motor, including defining the inputs, rule base, inference engine, and defuzzification method. The document presents the modeling of a separately excited DC motor. It then simulates the motor's speed response using a PID controller and fuzzy logic controller in MATLAB. The results show that the fuzzy logic controller has better transient and steady-state response than the PID controller for controlling the non-linear DC motor speed.
Power Optimization and Control in Wind Energy Conversion Systems using Fracti...IRJET Journal
This document describes a proposed method for optimizing power extraction from a wind energy conversion system (WECS) using fractional order extremum seeking control (FOESC). The WECS uses an induction generator connected to the grid through a matrix converter. An inner loop nonlinear controller based on field oriented control is used to control the generator along with an outer loop maximum power point tracking controller. The proposed outer loop controller is a FOESC, which is a non-model based optimization method that can track the maximum power point faster than conventional extremum seeking control methods. Simulation results are presented to demonstrate the effectiveness of using FOESC for maximum power point tracking in a WECS.
Control of Wind Energy Conversion System and Power Quality Improvement in the...ijeei-iaes
This document summarizes a research paper that proposes using extremum seeking (ES) control to maximize power extraction from a wind turbine in the sub-rated region between cut-in and rated wind speeds. ES is a non-model based approach that tunes the turbine speed for maximum power. An inner loop provides field-oriented control of the induction generator for improved transient response. Simulation results show the ES algorithm keeps the power coefficient close to its optimal value during fast changing winds, demonstrating maximum power point tracking. The closed-loop response time of 20ms is 25 times faster than an open loop system without inner loop control.
Comparative Performance Study for Closed Loop Operation of an Adjustable Spee...IJPEDS-IAES
In this paper an extensive comparative study is carried out between PI
and PID controlled closed loop model of an adjustable speed Permanent
Magnet Synchronous Motor (PMSM) drive. The incorporation of Sinusoidal
Pulse Width Modulation (SPWM) strategy establishes near sinusoidal
armature phase currents and comparatively less torque ripples without
sacrificing torque/weight ratio. In this closed loop model of PMSM drive, the
information about reference speed is provided to a speed controller, to ensure
that actual drive speed tracks the reference speed with ideally zero steady
state speed error. The entire model of PMSM closed loop drive is divided
into two loops, inner loop current and outer loop speed. By taking the
different combinations of two classical controllers (PI & PID) related with
two loop control structure, different approximations are carried out. Hence a
typical comparative study is introduced to familiar with the different
performance indices of the system corresponding to time domain and
frequency domain specifications. Therefore overall performance of closed
loop PMSM drive is tested and effectiveness of controllers will be
determined for different combinations.
Estimating the parameters of a geared DC motor is crucial in terms of its non-linear features. In this paper, parameters of a geared DC motor are estimated genetically. Mathematical model of the DC motor is determined by Kirchhoff’s law and dynamic model of its shafts and gearbox. Parameters of the geared DC motor are initially estimated by MATLAB/SIMULINK. The estimated parameters are defined as initial values for Genetic Algorithm (GA) to minimize the error of the simulated and actual angular trajectory captured by an encoder. The optimal estimated model of the geared DC motor is validated by different voltages as the input of the actual DC motor and its mathematical model. The results and numerical analysis illustrate it can be ascertained that GA is appropriate to estimate the parameters of platforms with non linear characteristics.
This document analyzes the closed-loop speed control of a chopper-fed separately excited DC motor using PI controllers. It presents the modeling of a separately excited DC motor and discusses various controller types for DC motor speed control. The proposed system uses a buck converter/chopper to control the armature voltage and thereby the speed of the DC motor. PI controllers are used to generate PWM pulses for the chopper by comparing the reference and feedback speeds. Simulation and experimental results are presented to validate the closed-loop speed control using PI controllers for different load conditions.
Rotor Resistance Adaptation Scheme Using Neural Learning Algorithm for a Fuzz...IOSR Journals
This document presents a rotor resistance adaptation scheme using a neural learning algorithm for a fuzzy logic based sensorless vector control of an induction motor. It proposes using a fuzzy logic controller for speed control of the induction motor drive to provide superior transient performance compared to a PI controller. It also uses a neural network to estimate the rotor resistance online and adapt to variations caused by temperature changes. Simulation results show that the fuzzy logic controller has faster response to speed changes than the PI controller. The neural network is also able to accurately estimate changes in rotor resistance and the adapted system is robust to rotor resistance variations of up to 100%.
Comparison of Different Rules Based Fuzzy Logic Controller for PMSM DrivesIOSR Journals
This document compares the performance of three different rule-based fuzzy logic controllers (FLCs) with 49, 25, and 9 rules for controlling the speed of a permanent magnet synchronous motor (PMSM) drive system. Simulation results show that a FLC with more rules (49 rules) provides superior performance in terms of speed tracking accuracy and settling time compared to FLCs with fewer rules (25 and 9 rules), but requires more computational resources. The performance decreases as the number of rules in the FLC decreases. Thus, there is a tradeoff between control performance and computational complexity depending on the number of rules used in the FLC for PMSM speed control applications.
Hybrid PI-Fuzzy Controller for Brushless DC motor speed controlIOSR Journals
1. The document describes a hybrid PI-fuzzy controller for speed control of a brushless DC motor.
2. It combines a proportional-integral controller, which performs well near steady-state, with a fuzzy logic controller, which handles transients better by reducing overshoot and oscillations.
3. By switching between the two controllers according to system conditions, the hybrid controller aims to achieve quick response during normal operation while minimizing overshoot during transients, obtaining the benefits of both.
Brushless Dc Motor Speed Control Using Proportional-Integral And Fuzzy Contro...IOSR Journals
This document summarizes and compares proportional-integral (PI) control and fuzzy logic control for speed regulation of a permanent magnet brushless DC motor. It first provides background on brushless DC motors and reviews previous literature on speed control techniques. It then describes implementing PI control in closed loop simulations, comparing three tuning methods. Fuzzy logic control is also implemented using two inputs (speed and current errors) and simulation results are presented. Both controllers are able to regulate speed under varying load torques and reference speeds, with fuzzy logic control having better performance in terms of overshoot, settling time and speed drop compared to PI control.
Comparison of cascade P-PI controller tuning methods for PMDC motor based on ...IJECEIAES
In this paper, there are two contributions: The first contribution is to design a robust cascade P-PI controller to control the speed and position of the permanent magnet DC motor (PMDC). The second contribution is to use three methods to tuning the parameter values for this cascade controller by making a comparison between them to obtain the best results to ensure accurate tracking trajectory on the axis to reach the desired position. These methods are the classical method (CM) and it requires some assumptions, the genetic algorithm (GA), and the particle swarm optimization algorithm (PSO). The simulation results show the system becomes unstable after applying the load when using the classical method because it assumes cancellation of the load effect. Also, an overshoot of about 3.763% is observed, and a deviation from the desired position of about 12.03 degrees is observed when using the GA algorithm, while no deviation or overshoot is observed when using the PSO algorithm. Therefore, the PSO algorithm has superiority as compared to the other two methods in improving the performance of the PMDC motor by extracting the best parameters for the cascade P-PI controller to reach the desired position at a regular speed.
Comparison of dc motor speed control performance using fuzzy logic and model ...Mustefa Jibril
1) The document compares the performance of controlling the speed of a DC motor using fuzzy logic and model predictive control (MPC) methods.
2) Simulation results show that the DC motor controlled with a fuzzy logic controller had less overshoot and faster settling time when tracking speed setpoints compared to the motor controlled with an MPC controller.
3) For both square wave and white noise speed setpoints, the MPC controller resulted in higher overshoot and longer settling times than the fuzzy logic controller.
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.
This document presents research on sensorless speed control of an induction motor using predictive current and torque controllers. It begins with an abstract summarizing the research, which involves using a closed-loop observer system and predictive controllers to control an induction motor drive without requiring direct measurement of motor speed or flux. The document then provides background information on sensorless induction motor control and challenges associated with it. It describes the proposed control system, which uses a closed-loop observer to estimate motor flux and speed, along with a predictive current controller and predictive torque controller. Simulation results are presented confirming the effectiveness of the proposed sensorless control approach.
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.
Simulation and Analysis of Modified DTC of PMSMIJECEIAES
This research paper describes the simulation and analysis of the modified DTC for Surface mounted Permanent Magnet Synchronous Motor (SPMSM) using PI controller. Among all of the various drive systems,PMSM is widely used for accurate speed and torque control, with greater efficiency, superior torque to inertia and high power density.The Conventional DTC secheme widely used for this purpose but it is failed to achieve desirable performance of the system for which the modified DTC secheme is propsed.The modified DTC algorithm controls the voltage vectors, directly from a simple look up table depending on outcome of the torque and indirectly flux controllers.The overall drive system can be implemented in SIMULINK/MATLAB environment.The modified DTC is validated with loading conditions.The simulated results are focused on the speed, settling time at loaded conditions, torque and flux linkages ripple and THD in the phase current for modified DTC applied to SPMSM.
This document summarizes a study that simulated the performance of a brushless direct current (BLDC) motor for use in an electrical system for an energy-efficient car. The simulation was conducted using Simulink MATLAB and showed that a BLDC motor producing 30 Nm of torque and 960 W of power at speeds of 100-900 rpm meets the design needs for an electric vehicle. The document discusses the regulations for the national Kontes Mobil Hemat Energi competition in Indonesia and the methods used in the simulation, including a proportional-integral-derivative control system.
Speed controller design for three-phase induction motor based on dynamic ad...IJECEIAES
Three-phase induction motor (TIM) is widely used in industrial application like paper mills, water treatment and sewage plants in the urban area. In these applications, the speed of TIM is very important that should be not varying with applied load torque. In this study, direct on line (DOL) motor starting without controller is modelled to evaluate the motor response when connected directly to main supply. Conventional PI controller for stator direct current and stator quadrature current of induction motor are designed as an inner loop controller as well as a second conventional PI controller is designed in the outer loop for controlling the TIM speed. Proposed combined PI-lead (CPIL) controllers for inner and outer loops are designed to improve the overall performance of the TIM as compared with the conventional controller. In this paper, dynamic adjustment grasshopper optimization algorithm (DAGOA) is proposed for tuning the proposed controller of the system. Numerical results based on well-selected test function demonstrate that DAGOA has a better performance in terms of speed of convergence, solution accuracy and reliability than SGOA. The study results revealed that the currents and speed of TIM system using CPIL-DAGOA are faster than system using conventional PI and CPIL controllers tuned by SGOA. Moreover, the speed controller of TIM system with CPIL controlling scheme based on DAGOA reached the steady state faster than others when applied load torque.
Type 1 versus type 2 fuzzy logic speed controllers for brushless DC motors IJECEIAES
This work presented two fuzzy logic (FL) schemes for speed-controlled brushless DC motors. The first controller is a Type 1 FL controller (T1FLC), whereas the second controller is an interval Type 2 FL controller (IT2FLC). The two proposed controllers were compared in terms of system dynamics and performance. For a fair comparison, the same type and number of membership functions were used for both controllers. The effectiveness of the structures of the two FL controllers was verified through simulation in MATLAB/SIMULINK environment. Simulation result showed that IT2FLC exhibited better performance than T1FLC.
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.
A Lyapunov Based Approach to Enchance Wind Turbine Stabilityijeei-iaes
This paper introduces a nonlinear control of a wind turbine based on a Double Feed Induction Generator. The Rotor Side converter is controlled by using field oriented control and Backstepping strategy to enhance the dynamic stability response. The Grid Side converter is controlled by a sliding mode. These methods aim to increase dynamic system stability for variable wind speed. Hence, The Doubly Fed Induction Generator (DFIG) is studied in order to illustrate its behavior in case of severe disturbance, and its dynamic response in grid connected mode for variable speed wind operation. The model is presented and simulated under Matlab/ Simulink.
This document describes using a fuzzy logic controller and PID controller to control the speed of a DC motor. It first provides background on DC motors and controllers. It then discusses the design of a fuzzy logic controller for a DC motor, including defining the inputs, rule base, inference engine, and defuzzification method. The document presents the modeling of a separately excited DC motor. It then simulates the motor's speed response using a PID controller and fuzzy logic controller in MATLAB. The results show that the fuzzy logic controller has better transient and steady-state response than the PID controller for controlling the non-linear DC motor speed.
Power Optimization and Control in Wind Energy Conversion Systems using Fracti...IRJET Journal
This document describes a proposed method for optimizing power extraction from a wind energy conversion system (WECS) using fractional order extremum seeking control (FOESC). The WECS uses an induction generator connected to the grid through a matrix converter. An inner loop nonlinear controller based on field oriented control is used to control the generator along with an outer loop maximum power point tracking controller. The proposed outer loop controller is a FOESC, which is a non-model based optimization method that can track the maximum power point faster than conventional extremum seeking control methods. Simulation results are presented to demonstrate the effectiveness of using FOESC for maximum power point tracking in a WECS.
Control of Wind Energy Conversion System and Power Quality Improvement in the...ijeei-iaes
This document summarizes a research paper that proposes using extremum seeking (ES) control to maximize power extraction from a wind turbine in the sub-rated region between cut-in and rated wind speeds. ES is a non-model based approach that tunes the turbine speed for maximum power. An inner loop provides field-oriented control of the induction generator for improved transient response. Simulation results show the ES algorithm keeps the power coefficient close to its optimal value during fast changing winds, demonstrating maximum power point tracking. The closed-loop response time of 20ms is 25 times faster than an open loop system without inner loop control.
Comparative Performance Study for Closed Loop Operation of an Adjustable Spee...IJPEDS-IAES
In this paper an extensive comparative study is carried out between PI
and PID controlled closed loop model of an adjustable speed Permanent
Magnet Synchronous Motor (PMSM) drive. The incorporation of Sinusoidal
Pulse Width Modulation (SPWM) strategy establishes near sinusoidal
armature phase currents and comparatively less torque ripples without
sacrificing torque/weight ratio. In this closed loop model of PMSM drive, the
information about reference speed is provided to a speed controller, to ensure
that actual drive speed tracks the reference speed with ideally zero steady
state speed error. The entire model of PMSM closed loop drive is divided
into two loops, inner loop current and outer loop speed. By taking the
different combinations of two classical controllers (PI & PID) related with
two loop control structure, different approximations are carried out. Hence a
typical comparative study is introduced to familiar with the different
performance indices of the system corresponding to time domain and
frequency domain specifications. Therefore overall performance of closed
loop PMSM drive is tested and effectiveness of controllers will be
determined for different combinations.
Estimating the parameters of a geared DC motor is crucial in terms of its non-linear features. In this paper, parameters of a geared DC motor are estimated genetically. Mathematical model of the DC motor is determined by Kirchhoff’s law and dynamic model of its shafts and gearbox. Parameters of the geared DC motor are initially estimated by MATLAB/SIMULINK. The estimated parameters are defined as initial values for Genetic Algorithm (GA) to minimize the error of the simulated and actual angular trajectory captured by an encoder. The optimal estimated model of the geared DC motor is validated by different voltages as the input of the actual DC motor and its mathematical model. The results and numerical analysis illustrate it can be ascertained that GA is appropriate to estimate the parameters of platforms with non linear characteristics.
This document analyzes the closed-loop speed control of a chopper-fed separately excited DC motor using PI controllers. It presents the modeling of a separately excited DC motor and discusses various controller types for DC motor speed control. The proposed system uses a buck converter/chopper to control the armature voltage and thereby the speed of the DC motor. PI controllers are used to generate PWM pulses for the chopper by comparing the reference and feedback speeds. Simulation and experimental results are presented to validate the closed-loop speed control using PI controllers for different load conditions.
Rotor Resistance Adaptation Scheme Using Neural Learning Algorithm for a Fuzz...IOSR Journals
This document presents a rotor resistance adaptation scheme using a neural learning algorithm for a fuzzy logic based sensorless vector control of an induction motor. It proposes using a fuzzy logic controller for speed control of the induction motor drive to provide superior transient performance compared to a PI controller. It also uses a neural network to estimate the rotor resistance online and adapt to variations caused by temperature changes. Simulation results show that the fuzzy logic controller has faster response to speed changes than the PI controller. The neural network is also able to accurately estimate changes in rotor resistance and the adapted system is robust to rotor resistance variations of up to 100%.
Comparison of Different Rules Based Fuzzy Logic Controller for PMSM DrivesIOSR Journals
This document compares the performance of three different rule-based fuzzy logic controllers (FLCs) with 49, 25, and 9 rules for controlling the speed of a permanent magnet synchronous motor (PMSM) drive system. Simulation results show that a FLC with more rules (49 rules) provides superior performance in terms of speed tracking accuracy and settling time compared to FLCs with fewer rules (25 and 9 rules), but requires more computational resources. The performance decreases as the number of rules in the FLC decreases. Thus, there is a tradeoff between control performance and computational complexity depending on the number of rules used in the FLC for PMSM speed control applications.
Hybrid PI-Fuzzy Controller for Brushless DC motor speed controlIOSR Journals
1. The document describes a hybrid PI-fuzzy controller for speed control of a brushless DC motor.
2. It combines a proportional-integral controller, which performs well near steady-state, with a fuzzy logic controller, which handles transients better by reducing overshoot and oscillations.
3. By switching between the two controllers according to system conditions, the hybrid controller aims to achieve quick response during normal operation while minimizing overshoot during transients, obtaining the benefits of both.
Brushless Dc Motor Speed Control Using Proportional-Integral And Fuzzy Contro...IOSR Journals
This document summarizes and compares proportional-integral (PI) control and fuzzy logic control for speed regulation of a permanent magnet brushless DC motor. It first provides background on brushless DC motors and reviews previous literature on speed control techniques. It then describes implementing PI control in closed loop simulations, comparing three tuning methods. Fuzzy logic control is also implemented using two inputs (speed and current errors) and simulation results are presented. Both controllers are able to regulate speed under varying load torques and reference speeds, with fuzzy logic control having better performance in terms of overshoot, settling time and speed drop compared to PI control.
Comparison of cascade P-PI controller tuning methods for PMDC motor based on ...IJECEIAES
In this paper, there are two contributions: The first contribution is to design a robust cascade P-PI controller to control the speed and position of the permanent magnet DC motor (PMDC). The second contribution is to use three methods to tuning the parameter values for this cascade controller by making a comparison between them to obtain the best results to ensure accurate tracking trajectory on the axis to reach the desired position. These methods are the classical method (CM) and it requires some assumptions, the genetic algorithm (GA), and the particle swarm optimization algorithm (PSO). The simulation results show the system becomes unstable after applying the load when using the classical method because it assumes cancellation of the load effect. Also, an overshoot of about 3.763% is observed, and a deviation from the desired position of about 12.03 degrees is observed when using the GA algorithm, while no deviation or overshoot is observed when using the PSO algorithm. Therefore, the PSO algorithm has superiority as compared to the other two methods in improving the performance of the PMDC motor by extracting the best parameters for the cascade P-PI controller to reach the desired position at a regular speed.
In this paper, we first write a description of the operation of DC motors taking into account which parameters the speed depends on thereof. The PID (Proportional-Integral-Derivative) controllers are then briefly described, and then applied to the motor speed control already described , that is, as an electronic controller (PID), which is often referred to as a DC motor. The closed loop speed control of a Brush DC motor is developed applying the well-known PID control algorithm. The objective of this work is to designed and simulate a new control system to keep the speed of the DC motor constant before variations of the load (disturbances), automatically depending to the PID controller. The system was designed and implementation by using MATLAB/SIMULINK and DC motor.
This document describes using a fuzzy logic controller and PID controller to control the speed of a DC motor. It first provides background on DC motors and controllers. It then discusses the design of a fuzzy logic controller for a DC motor, including defining the inputs, rule base, inference engine, and defuzzification method. The document presents the modeling of a separately excited DC motor. It then simulates the motor's speed response using a PID controller and fuzzy logic controller in MATLAB. The results show that the fuzzy logic controller has better transient and steady-state response than the PID controller for controlling the non-linear DC motor speed.
A NEW APPROACH TO DTC METHOD FOR BLDC MOTOR ADJUSTABLE SPEED DRIVEScscpconf
This paper proposes a new approach to direct torque control (DTC) method for brushless direct current (BLDC) motor drives. In conventional DTC method, two main reference parameters are used as: flux and torque. In this paper, the new approach has been proposed to improve the BLDC motor dynamic performance. A main difference from the conventional method of it was that only one reference parameter (speed) was used to control the BLDC motor and the second control parameter (flux) was obtained from speed error through the proposed control algorithm. Thus, the DTC performance has been especially improved on systems which need variable speed and torque during operation, like electric vehicles. The dynamic models of the BLDC and the DTC method have been created on Matlab/Simulink. The proposed method has been confirmed and verified by the dynamic simulations on different working conditions.
PI controller design for indirect vector controlled induction motorISA Interchange
Decoupling of the stator currents is important for smoother torque response of indirect vector controlled induction motors. Typically, feedforward decoupling is used to take care of current coupling that requires exact knowledge of motor parameters, additional circuitry and signal processing. In this paper, a method is proposed to design the regulating proportional-integral gains that minimize coupling without any requirement of the additional decoupler. The variation of the coupling terms for change in load torque is considered as the performance measure. An iterative linear matrix inequality based H∞ control design approach is used to obtain the controller gains. A comparison between the feedforward and the proposed decoupling schemes is presented through simulation and experimental results. The results show that the proposed scheme is simple yet effective even without additional block or burden on signal processing.
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.
Fuzzy logic Technique Based Speed Control of a Permanent Magnet Brushless DC...IJMER
This document summarizes a research paper that analyzes speed control of a permanent magnet brushless DC motor using fuzzy logic techniques. It begins with an introduction to brushless DC motors and their applications. It then describes the dynamics and modeling of a brushless DC motor drive system. Next, it discusses conventional PID speed control and introduces fuzzy logic control as an alternative method. The next sections provide details on fuzzy logic controller design and simulations comparing the performance of PID and fuzzy logic controllers under different operating conditions. The conclusions indicate that the fuzzy logic controller provides better damping and disturbance rejection compared to the PID controller.
A review paper on closed loop control of bldc motor using fuzzy logicIRJET Journal
This document reviews a closed loop control method for a brushless DC motor (BLDC) using a fuzzy logic controller. It describes using a single current sensor on the DC link to estimate phase currents and avoid the cost of multiple sensors. The proposed system was simulated in MATLAB/Simulink using PI and fuzzy logic speed controllers. The simulation results showed that the fuzzy logic controller provided better motor speed control performance compared to the PI controller.
MODIFIED DIRECT TORQUE CONTROL FOR BLDC MOTOR DRIVESijctcm
In this paper, a new adaptive reference based approach to direct torque control (DTC) method has been
proposed for brushless direct current (BLDC) motor drives. Conventional DTC method uses two main
reference parameters as: flux and torque. A main difference from the conventional method of it was that
only one reference parameter (speed) was used to control the BLDC motor and the second control
parameter (flux) was obtained from speed error through the proposed control algorithm. Thus, the DTC
performance has been especially improved on systems which need variable speed and torque during
operation, like electric vehicles. The dynamic models of the BLDC and the DTC method have been created
on Matlab/Simulink. The proposed method has been confirmed and verified by the dynamic simulations on
different working conditions. The simulation studies showed that the proposed method reduced remarkably
the speed and the torque ripples when compared the conventional DTC method. Moreover, the proposed
method has also very simple structure to apply the conventional DTC and its extra computational load to
the controller is almost zero.
This document describes the design of a PI controller to minimize speed error for a DC servo motor. It presents a mathematical model of the DC servo motor and designs a PI controller using Simulink. The PI controller gains are adjusted to minimize overshoot, rise time, settling time, and speed error when the reference input changes between 110V to 220V and 110V to 55V. Simulation results show the PI controller is effective at maintaining near zero speed error and improving transient response.
Investigation of Artificial Neural Network Based Direct Torque Control for PM...cscpconf
This paper investigates solution for the chronically and the biggest problem of direct torque control scheme: high torque ripple. Otherwise, another main problem faced in direct torque control method is difficulties due to complex algorithm to get high performance control for industrial motors. The purpose of this paper is to simplify the control structure by using artificial neural networks learning abilities and to investigate the affects of this structure on torque performance of motor. For this purpose, two different artificial neural networks have been suggested replacing the optimal switching vector selection and flux sector determination process of conventional direct torque control method. Matlab/Simulink based numerical simulations have been carried out to compare motor performances with conventional control structure and proposed artificial neural network based structure. It has been observed that the dynamic response of motor is faster and torque ripple and the controller complexity of the conventional control system has been reduced with the proposed technique.
Iaetsd modelling of one link flexible arm manipulator usingIaetsd Iaetsd
This document describes a two-stage controller for controlling an uncertain flexible robotic arm. In the first stage, an outer loop controller is designed to track a desired tip position trajectory, assuming the motor dynamics are negligible. This outer loop controller uses a generalized proportional integral (GPI) design. In the second stage, an inner loop controller is designed to force the motor position to track the trajectory determined by the outer loop controller, despite unknown friction and parameters in the motor dynamics. The two-stage GPI controller provides robust tracking of the tip position trajectory without requiring online estimation of system parameters.
IRJET- Performance Analysis of Speed Control of Induction Motor using Pi,...IRJET Journal
This document analyzes and compares the performance of PI, sliding mode, and fuzzy logic controllers for speed control of an induction motor. It first provides background on vector control of induction motors and derives the mathematical models of the motor. It then describes the design and implementation of the three controllers - PI, sliding mode, and fuzzy logic. Simulation results show that the sliding mode controller provides the best dynamic performance and robustness to load disturbances, followed by the fuzzy logic controller, while the PI controller has less satisfactory steady state response and performance under disturbances. The document concludes by comparing the performance of the three controllers.
This document describes using a fuzzy logic controller to control the speed of a brushless DC motor. It begins with an abstract that outlines using a fuzzy logic algorithm to track speed references and stabilize output speed during load variations for a BLDC motor drive. It then provides background on BLDC motors and fuzzy logic control. Sections describe the operating principle and components of BLDC motors, including rotor position sensors. It also covers designing a proportional-integral (PI) speed controller as well as simulation results for PI control that show the speed and torque performance. Finally, it discusses the structure of a fuzzy logic controller, including the fuzzification and defuzzification components.
Speed Control of Brushless Dc Motor Using Fuzzy Logic Controlleriosrjce
This paper presents a control scheme of a fuzzy logic for the brushless direct current (BLDC)
permanent magnet motor drives. The mathematical model of BLDC motor and fuzzy logic algorithm is derived.
The controller is designed to tracks variations of speed references and stabilizes the output speed during load
variations. The BLDC has some advantages compare to the others type of motors, however the nonlinearity of
the BLDC motor drive characteristics, because it is difficult to handle by using conventional proportionalintegral
(PI) controller. The BLDC motor is fed from the inverter where the rotor position and current
controller is the input. In order to overcome this main problem, the fuzzy logic control is learned continuously
and gradually becomes the main effective control. The effectiveness of the proposed method is verified by
develop simulation model in MATLAB-Simulink program. The simulation results show that the proposed fuzzy
logic controller (FLC) produce significant improvement control performance compare to the PI controller for
both condition controlling speed reference variations and load disturbance variations. Fuzzy logic is introduced
in order to suppressing the chattering and enhancing the robustness of the controlled system. Fuzzy boundary
layer is developed to provide smother transition to the equivalent control. Smaller overshoot in the speed
response and much better disturbance rejecting capabilities.
This paper describes the design and the simulation of a non-linear controller for two-mass system using induction motor basing on the backstepping method. The aim is to control the speed actual value of load motor matching with the speed reference load motor, moreover, electrical drive’s respone ensuring the “fast, accurate and small overshoot” and reducing the resonance oscillations for two-mass system using induction motor fed by voltage source inveter with ideally control performance of stator current. Backstepping controller uses the non-linear equations of an induction motor and the linear dynamical equations of two-mass system, the Lyapunov analysis and the errors between the real and the desired values. The controller has been implemented in both simulation and hardware-in-the-loop (HIL) real-time experiments using Typhoon HIL 402 system, when the drive system operates at a stable speed (rotor flux is constant) and greater than rated speed (field weakening area). The simulation and HIL results presented the correctness and effectiveness of the controller is proposed; furthermore, compared to PI method to see the response of the system clearly.
Iaetsd estimation of frequency for a single link-flexibleIaetsd Iaetsd
This document proposes an adaptive control method for an uncertain flexible robotic arm. It uses a fast online closed-loop identification method combined with an output feedback controller called a Generalized Proportional Integral (GPI) controller. An algebraic identification method is used to identify unknown system parameters and update the GPI controller in real-time. Simulations show the robustness of the adaptive controller. The document describes the flexible manipulator model, GPI controller design, algebraic estimator development, adaptive control procedure, and simulation results showing the effectiveness of the adaptive control system.
Similar to Speed and Torque Control of Mechanically Coupled Permanent Magnet Direct Current Motor (20)
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.
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.
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.
Optimal Placement of DG for Loss Reduction and Voltage Sag Mitigation in Radi...IDES Editor
This paper presents the need to operate the power
system economically and with optimum levels of voltages has
further led to an increase in interest in Distributed
Generation. In order to reduce the power losses and to improve
the voltage in the distribution system, distributed generators
(DGs) are connected to load bus. To reduce the total power
losses in the system, the most important process is to identify
the proper location for fixing and sizing of DGs. It presents a
new methodology using a new population based meta heuristic
approach namely Artificial Bee Colony algorithm(ABC) for
the placement of Distributed Generators(DG) in the radial
distribution systems to reduce the real power losses and to
improve the voltage profile, voltage sag mitigation. The power
loss reduction is important factor for utility companies because
it is directly proportional to the company benefits in a
competitive electricity market, while reaching the better power
quality standards is too important as it has vital effect on
customer orientation. In this paper an ABC algorithm is
developed to gain these goals all together. In order to evaluate
sag mitigation capability of the proposed algorithm, voltage
in voltage sensitive buses is investigated. An existing 20KV
network has been chosen as test network and results are
compared with the proposed method in the radial distribution
system.
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.
Study of Structural Behaviour of Gravity Dam with Various Features of Gallery...IDES Editor
The size and shape of opening in dam causes the
stress concentration, it also causes the stress variation in the
rest of the dam cross section. The gravity method of the analysis
does not consider the size of opening and the elastic property
of dam material. Thus the objective of study is comprises of
the Finite Element Method which considers the size of
opening, elastic property of material, and stress distribution
because of geometric discontinuity in cross section of dam.
Stress concentration inside the dam increases with the opening
in dam which results in the failure of dam. Hence it is
necessary to analyses large opening inside the dam. By making
the percentage area of opening constant and varying size and
shape of opening the analysis is carried out. For this purpose
a section of Koyna Dam is considered. Dam is defined as a
plane strain element in FEM, based on geometry and loading
condition. Thus this available information specified our path
of approach to carry out 2D plane strain analysis. The results
obtained are then compared mutually to get most efficient
way of providing large opening in the gravity dam.
Assessing Uncertainty of Pushover Analysis to Geometric ModelingIDES Editor
Pushover Analysis a popular tool for seismic
performance evaluation of existing and new structures and is
nonlinear Static procedure where in monotonically increasing
loads are applied to the structure till the structure is unable
to resist the further load .During the analysis, whatever the
strength of concrete and steel is adopted for analysis of
structure may not be the same when real structure is
constructed and the pushover analysis results are very sensitive
to material model adopted, geometric model adopted, location
of plastic hinges and in general to procedure followed by the
analyzer. In this paper attempt has been made to assess
uncertainty in pushover analysis results by considering user
defined hinges and frame modeled as bare frame and frame
with slab modeled as rigid diaphragm and results compared
with experimental observations. Uncertain parameters
considered includes the strength of concrete, strength of steel
and cover to the reinforcement which are randomly generated
and incorporated into the analysis. The results are then
compared with experimental observations.
Secure Multi-Party Negotiation: An Analysis for Electronic Payments in Mobile...IDES Editor
This document summarizes and analyzes secure multi-party negotiation protocols for electronic payments in mobile computing. It presents a framework for secure multi-party decision protocols using lightweight implementations. The main focus is on synchronizing security features to avoid agreement manipulation and reduce user traffic. The paper describes negotiation between an auctioneer and bidders, showing multiparty security is better than existing systems. It analyzes the performance of encryption algorithms like ECC, XTR, and RSA for use in the multiparty negotiation protocols.
Selfish Node Isolation & Incentivation using Progressive ThresholdsIDES Editor
The problems associated with selfish nodes in
MANET are addressed by a collaborative watchdog approach
which reduces the detection time for selfish nodes thereby
improves the performance and accuracy of watchdogs[1]. In
the related works they make use of credit based systems, reputation
based mechanisms, pathrater and watchdog mechanism
to detect such selfish nodes. In this paper we follow an approach
of collaborative watchdog which reduces the detection
time for selfish nodes and also involves the removal of such
selfish nodes based on some progressively assessed thresholds.
The threshold gives the nodes a chance to stop misbehaving
before it is permanently deleted from the network.
The node passes through several isolation processes before it
is permanently removed. Another version of AODV protocol
is used here which allows the simulation of selfish nodes in
NS2 by adding or modifying log files in the protocol.
Various OSI Layer Attacks and Countermeasure to Enhance the Performance of WS...IDES Editor
Wireless sensor networks are networks having non
wired infrastructure and dynamic topology. In OSI model each
layer is prone to various attacks, which halts the performance
of a network .In this paper several attacks on four layers of
OSI model are discussed and security mechanism is described
to prevent attack in network layer i.e wormhole attack. In
Wormhole attack two or more malicious nodes makes a covert
channel which attracts the traffic towards itself by depicting a
low latency link and then start dropping and replaying packets
in the multi-path route. This paper proposes promiscuous mode
method to detect and isolate the malicious node during
wormhole attack by using Ad-hoc on demand distance vector
routing protocol (AODV) with omnidirectional antenna. The
methodology implemented notifies that the nodes which are
not participating in multi-path routing generates an alarm
message during delay and then detects and isolate the
malicious node from network. We also notice that not only
the same kind of attacks but also the same kind of
countermeasures can appear in multiple layer. For example,
misbehavior detection techniques can be applied to almost all
the layers we discussed.
Responsive Parameter based an AntiWorm Approach to Prevent Wormhole Attack in...IDES Editor
The recent advancements in the wireless technology
and their wide-spread deployment have made remarkable
enhancements in efficiency in the corporate and industrial
and Military sectors The increasing popularity and usage of
wireless technology is creating a need for more secure wireless
Ad hoc networks. This paper aims researched and developed
a new protocol that prevents wormhole attacks on a ad hoc
network. A few existing protocols detect wormhole attacks but
they require highly specialized equipment not found on most
wireless devices. This paper aims to develop a defense against
wormhole attacks as an Anti-worm protocol which is based on
responsive parameters, that does not require as a significant
amount of specialized equipment, trick clock synchronization,
no GPS dependencies.
Cloud Security and Data Integrity with Client Accountability FrameworkIDES Editor
This document summarizes a proposed cloud security and data integrity framework that provides client accountability. The framework aims to address issues like lack of user control over cloud data, need for data transparency and tracking, and ensuring data integrity. It proposes using JAR (Java Archive) files for data sharing due to benefits like portability. The framework incorporates client-side verification using MD5 hashing, digital signature-based authentication of JAR files, and use of HMAC to ensure data integrity. It also uses password-based encryption of log files to keep them tamper-proof. The framework is intended to provide both accountability and security for data sharing in cloud environments.
Genetic Algorithm based Layered Detection and Defense of HTTP BotnetIDES Editor
A System state in HTTP botnet uses HTTP protocol
for the creation of chain of Botnets thereby compromising
other systems. By using HTTP protocol and port number 80,
attacks can not only be hidden but also pass through the
firewall without being detected. The DPR based detection
leads to better analysis of botnet attacks [3]. However, it
provides only probabilistic detection of the attacker and also
time consuming and error prone. This paper proposes a Genetic
algorithm based layered approach for detecting as well as
preventing botnet attacks. The paper reviews p2p firewall
implementation which forms the basis of filtering.
Performance evaluation is done based on precision, F-value
and probability. Layered approach reduces the computation
and overall time requirement [7]. Genetic algorithm promises
a low false positive rate.
Enhancing Data Storage Security in Cloud Computing Through SteganographyIDES Editor
This document summarizes a research paper that proposes a method for enhancing data security in cloud computing through steganography. The method hides user data in digital images stored on cloud servers. When data needs to be accessed, it is extracted from the images. The document outlines the cloud architecture and security issues addressed. It then describes the proposed system architecture, security model, and data storage and retrieval process. Data is partitioned and hidden in multiple images to improve security. The goal is to prevent unauthorized access to user data stored on cloud servers.
The main tasks of a Wireless Sensor Network
(WSN) are data collection from its nodes and communication
of this data to the base station (BS). The protocols used for
communication among the WSN nodes and between the WSN
and the BS, must consider the resource constraints of nodes,
battery energy, computational capabilities and memory. The
WSN applications involve unattended operation of the network
over an extended period of time. In order to extend the lifetime
of a WSN, efficient routing protocols need to be adopted. The
proposed low power routing protocol based on tree-based
network structure reliably forwards the measured data towards
the BS using TDMA. An energy consumption analysis of the
WSN making use of this protocol is also carried out. It is
found that the network is energy efficient with an average
duty cycle of 0:7% for the WSN nodes. The OmNET++
simulation platform along with MiXiM framework is made
use of.
Permutation of Pixels within the Shares of Visual Cryptography using KBRP for...IDES Editor
The security of authentication of internet based
co-banking services should not be susceptible to high risks.
The passwords are highly vulnerable to virus attacks due to
the lack of high end embedding of security methods. In order
for the passwords to be more secure, people are generally
compelled to select jumbled up character based passwords
which are not only less memorable but are also equally prone
to insecurity. Multiple use of distributed shares has been
studied to solve the problem of authentication by algorithms
based on thresholding of pixels in image processing and visual
cryptography concepts where the subset of shares is considered
for the recovery of the original image for authentication using
correlation function[1][2].The main disadvantage in the above
study is the plain storage of shares and also one of the shares
is being supplied to the customer, which will lead to the
possibility of misuse by a third party. This paper proposes a
technique for scrambling of pixels by key based random
permutation (KBRP) within the shares before the
authentication has been attempted. Total number of shares to
be created is dependent on the multiplicity of ownership of
the account. By this method the problem of uncertainty among
the customers with regard to security, storage, retrieval of
holding of half of the shares is minimized.
This paper presents a trifocal Rotman Lens Design
approach. The effects of focal ratio and element spacing on
the performance of Rotman Lens are described. A three beam
prototype feeding 4 element antenna array working in L-band
has been simulated using RLD v1.7 software. Simulated
results show that the simulated lens has a return loss of –
12.4dB at 1.8GHz. Beam to array port phase error variation
with change in the focal ratio and element spacing has also
been investigated.
Band Clustering for the Lossless Compression of AVIRIS Hyperspectral ImagesIDES Editor
Hyperspectral images can be efficiently compressed
through a linear predictive model, as for example the one
used in the SLSQ algorithm. In this paper we exploit this
predictive model on the AVIRIS images by individuating,
through an off-line approach, a common subset of bands, which
are not spectrally related with any other bands. These bands
are not useful as prediction reference for the SLSQ 3-D
predictive model and we need to encode them via other
prediction strategies which consider only spatial correlation.
We have obtained this subset by clustering the AVIRIS bands
via the clustering by compression approach. The main result
of this paper is the list of the bands, not related with the
others, for AVIRIS images. The clustering trees obtained for
AVIRIS and the relationship among bands they depict is also
an interesting starting point for future research.
Microelectronic Circuit Analogous to Hydrogen Bonding Network in Active Site ...IDES Editor
A microelectronic circuit of block-elements
functionally analogous to two hydrogen bonding networks is
investigated. The hydrogen bonding networks are extracted
from â-lactamase protein and are formed in its active site.
Each hydrogen bond of the network is described in equivalent
electrical circuit by three or four-terminal block-element.
Each block-element is coded in Matlab. Static and dynamic
analyses are performed. The resultant microelectronic circuit
analogous to the hydrogen bonding network operates as
current mirror, sine pulse source, triangular pulse source as
well as signal modulator.
Texture Unit based Monocular Real-world Scene Classification using SOM and KN...IDES Editor
In this paper a method is proposed to discriminate
real world scenes in to natural and manmade scenes of similar
depth. Global-roughness of a scene image varies as a function
of image-depth. Increase in image depth leads to increase in
roughness in manmade scenes; on the contrary natural scenes
exhibit smooth behavior at higher image depth. This particular
arrangement of pixels in scene structure can be well explained
by local texture information in a pixel and its neighborhood.
Our proposed method analyses local texture information of a
scene image using texture unit matrix. For final classification
we have used both supervised and unsupervised learning using
K-Nearest Neighbor classifier (KNN) and Self Organizing
Map (SOM) respectively. This technique is useful for online
classification due to very less computational complexity.
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
Gender and Mental Health - Counselling and Family Therapy Applications and In...PsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.pptHenry Hollis
The History of NZ 1870-1900.
Making of a Nation.
From the NZ Wars to Liberals,
Richard Seddon, George Grey,
Social Laboratory, New Zealand,
Confiscations, Kotahitanga, Kingitanga, Parliament, Suffrage, Repudiation, Economic Change, Agriculture, Gold Mining, Timber, Flax, Sheep, Dairying,
This presentation was provided by Rebecca Benner, Ph.D., of the American Society of Anesthesiologists, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
Iván Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 𝟏)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐄𝐏𝐏 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐍𝐚𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐒𝐜𝐨𝐩𝐞 𝐨𝐟 𝐚𝐧 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.