1. The document presents a suitable control structure for controlling a quad-rotor miniature aerial vehicle (MAV).
2. It first establishes a six degree of freedom dynamic model and control equations for the quad-rotor. Then, it proposes two control structures - a single loop structure and a double loop structure.
3. The double loop structure is needed to control all six coordinates (x, y, z positions and roll, pitch, yaw angles) to allow the quad-rotor to fly precisely point-to-point, while the single loop can only control height and stability. Simulation and experimental results demonstrate the effectiveness of the proposed structures.
High Performance Speed Control of Single-Phase Induction Motors Using Switchi...IJPEDS-IAES
The aim of this research is to provide a high performance vector control of
single-phase Induction Motor (IM) drives. It is shown that in the rotating
reference frame, the single-phase IM equations can be separated into forward
and backward equations with the balanced structure. Based on this, a method
for vector control of the single-phase IM, using two modified Rotor Field-
Oriented Control (RFOC) algorithms is presented. In order to accommodate
forward and backward rotor fluxes in the presented controller, an Extended
Kalman Filter (EKF) with two different forward and backward currents that
are switched interchangeably (switching forward and backward EKF), is
proposed. Simulation results illustrate the effectiveness of the proposed
algorithm.
DUAL NEURAL NETWORK FOR ADAPTIVE SLIDING MODE CONTROL OF QUADROTOR HELICOPTER...ijistjournal
An adaptive sliding mode control based on two neural networks is proposed in this paper for Quadrotor stabilization. This approach presents solutions to conventional control drawbacks as chattering phenomenon and dynamical model imprecision. For that reason two ANN for each quadrotor helicopter subsystem are implemented in the control loop, the first one is a Single Hidden Layer network used to approximate on line the equivalent control and the second feed-forward Network is used to estimate the ideal corrective term. The main purpose behind the use of ANN in the second part of SMC is to minimize the chattering phenomena and response time by finding optimal sliding gain and sliding surface slope. The learning algorithms of the two ANNs (equivalent and corrective controller) are obtained using the direct Lyapunov stability method. The simulation results are given to highlight the performances of the proposed control scheme.
DEVELOPMENT AND IMPLEMENTATION OF A ADAPTIVE FUZZY CONTROL SYSTEM FOR A VTOL ...ijctcm
The studies in aerial vehicles modeling and control have been increased rapidly recently. This paper presents the modeling and control of a four rotor vertical take-off and landing (VTOL) vehicle. The modeling of the VTOL vehicle will be described by using Euler-Newton equations. In order to stable this vehicle and control the attitude of that, classical PID controller and a fuzzy system that adjusts the PID controller gains, have been designed. Although fuzzy control of various dynamical systems has been presented in literature, application of this technology to aerial vehicle control is quite new. This system has nonlinear characteristics where classical control methods are not adequate for stabilize that. On the other hand, fuzzy control is nonlinear and it is thus suitable for nonlinear system control. Matlab Simulink has been used to test, analyze and compare the performance of the controllers in simulations. Finally this
presented controller will be implemented on a real vehicle and performance of that will be showed. This study showed that although, both of the classical PID and the fuzzy self-tuning PID controllers, can control the system properly, the second controller performed better than the classical PID controller
Elevation, pitch and travel axis stabilization of 3DOF helicopter with hybrid...IJECEIAES
This research work introduces an efficient hybrid control methodology through combining the traditional proportional-integral-derivative (PID) controller and linear quadratic regulator (LQR) optimal controlher. The proposed hybrid control approach is adopted to design three degree of freedom (3DOF) stabilizing system for helicopter. The gain parameters of the classic PID controller are determined using the elements of the LQR feedback gain matrix. The dynamic behaviour of the LQR based PID controller, is modeled in state space form to enable utlizing state feedback controller technique. The performance of the proposed LQR based LQR controller is improved by using Genetic Algorithm optimization method which are adopted to obtain optimum values for LQR controller gain parameters. The LQR-PID hybrid controller is simulated using Matlab environment and its performance is evaluated based on rise time, settling time, overshoot and steady state error parameters to validate the proposed 3DOF helicopter balancing system. Based on GA tuning approach, the simulation results suggest that the hybrid LQR-PID controller can be effectively employed to stabilize the 3DOF helicopter system.
High Performance Speed Control of Single-Phase Induction Motors Using Switchi...IJPEDS-IAES
The aim of this research is to provide a high performance vector control of
single-phase Induction Motor (IM) drives. It is shown that in the rotating
reference frame, the single-phase IM equations can be separated into forward
and backward equations with the balanced structure. Based on this, a method
for vector control of the single-phase IM, using two modified Rotor Field-
Oriented Control (RFOC) algorithms is presented. In order to accommodate
forward and backward rotor fluxes in the presented controller, an Extended
Kalman Filter (EKF) with two different forward and backward currents that
are switched interchangeably (switching forward and backward EKF), is
proposed. Simulation results illustrate the effectiveness of the proposed
algorithm.
DUAL NEURAL NETWORK FOR ADAPTIVE SLIDING MODE CONTROL OF QUADROTOR HELICOPTER...ijistjournal
An adaptive sliding mode control based on two neural networks is proposed in this paper for Quadrotor stabilization. This approach presents solutions to conventional control drawbacks as chattering phenomenon and dynamical model imprecision. For that reason two ANN for each quadrotor helicopter subsystem are implemented in the control loop, the first one is a Single Hidden Layer network used to approximate on line the equivalent control and the second feed-forward Network is used to estimate the ideal corrective term. The main purpose behind the use of ANN in the second part of SMC is to minimize the chattering phenomena and response time by finding optimal sliding gain and sliding surface slope. The learning algorithms of the two ANNs (equivalent and corrective controller) are obtained using the direct Lyapunov stability method. The simulation results are given to highlight the performances of the proposed control scheme.
DEVELOPMENT AND IMPLEMENTATION OF A ADAPTIVE FUZZY CONTROL SYSTEM FOR A VTOL ...ijctcm
The studies in aerial vehicles modeling and control have been increased rapidly recently. This paper presents the modeling and control of a four rotor vertical take-off and landing (VTOL) vehicle. The modeling of the VTOL vehicle will be described by using Euler-Newton equations. In order to stable this vehicle and control the attitude of that, classical PID controller and a fuzzy system that adjusts the PID controller gains, have been designed. Although fuzzy control of various dynamical systems has been presented in literature, application of this technology to aerial vehicle control is quite new. This system has nonlinear characteristics where classical control methods are not adequate for stabilize that. On the other hand, fuzzy control is nonlinear and it is thus suitable for nonlinear system control. Matlab Simulink has been used to test, analyze and compare the performance of the controllers in simulations. Finally this
presented controller will be implemented on a real vehicle and performance of that will be showed. This study showed that although, both of the classical PID and the fuzzy self-tuning PID controllers, can control the system properly, the second controller performed better than the classical PID controller
Elevation, pitch and travel axis stabilization of 3DOF helicopter with hybrid...IJECEIAES
This research work introduces an efficient hybrid control methodology through combining the traditional proportional-integral-derivative (PID) controller and linear quadratic regulator (LQR) optimal controlher. The proposed hybrid control approach is adopted to design three degree of freedom (3DOF) stabilizing system for helicopter. The gain parameters of the classic PID controller are determined using the elements of the LQR feedback gain matrix. The dynamic behaviour of the LQR based PID controller, is modeled in state space form to enable utlizing state feedback controller technique. The performance of the proposed LQR based LQR controller is improved by using Genetic Algorithm optimization method which are adopted to obtain optimum values for LQR controller gain parameters. The LQR-PID hybrid controller is simulated using Matlab environment and its performance is evaluated based on rise time, settling time, overshoot and steady state error parameters to validate the proposed 3DOF helicopter balancing system. Based on GA tuning approach, the simulation results suggest that the hybrid LQR-PID controller can be effectively employed to stabilize the 3DOF helicopter system.
In this paper, the design of a speed control scheme based on a total sliding mode control for Indirect Field Oriented of a three phase induction motor (IM) is proposed. Firstly, the indirect field oriented control is derived. Then, sliding mode control design is investigated to achieve a speed tracking objective under different load torque disturbance. Finally a dSPACE DS1104 R&D board is used to implement the proposed scheme. The experimental results released on 0.25 kW slip-ring IM show a high dynamic performance, fast transient response without overshot as well as a good load disturbances rejection response.
Dc chopper is a method of speed control of DC motor,The continuous and discontinuous conduction can effect the motor speed and a vibration may occur during the load.This article explains the causes of this phenomenon and the methods to avoid these drawbacks.
Comparison of Estimated Torques Using Low Pass Filter and Extended Kalman Fil...IAES-IJPEDS
Torque calculation process is one of the major concerns for controlling induction motors in industry, which requires very accurate state estimation of unmeasurable variables of nonlinear models. This can be solved if the variables used for torque calculation is accurately estimated. This paper presents a torque calculation based on a voltage model represented with a low-pass filter (LPF), and an extended Kalman filter (EKF). The experimental results showed that the estimated torque at low speed based on EKF is more accurate in the expense of more complicated and larger computational time.
Performance Analysis of a DTC and SVM Based Field- Orientation Control Induct...IJPEDS-IAES
This study presents a performance analysis of two most popular control strategies for Induction Motor (IM) drives: direct torque control (DTC) and space vector modulation (SVM) strategies. The performance analysis is done by applying field-orientation control (FOC) technique because of its good dynamic response. The theoretical principle, simulation results are discussed to study the dynamic performances of the drive system for individual control strategies using actual parameters of induction motor. A closed loop PI controller scheme has been used. The main purpose of this study is to minimize ripple in torque response curve and to achieve quick speed response as well as to investigate the condition for optimum performance of induction motor drive. Depending on the simulation results this study also presents a detailed comparison between direct torque control and space vector modulation based field-orientation control method for the induction motor drive.
The article gives the experimental results of the processes occurring in the combined system of traction and magnetic suspension, which was implemented on the basis of the linear switched reluctance motor. The goal of the research is to examine the possibility to combine the levitation and traction functions within one unit. The full- function physical model of the transport system with the magnetic suspension has been produced for experimental verification of the development concept for the combined system of traction and magnetic suspension. The research tests have been performed at the track structure with the limited length in order to study the processes, occurring in the most complicated start-up mode, when the discrete behavior of current in windings has the disturbance effect on the object levitation. The oscillograms of electromechanical transition processes, showing the mutual influence of traction subsystems and a suspension, are provided. The results of researches have illustrated dramatically that the development concept of the combined system of traction and magnetic suspension, based on the linear switched reluctance motor, is absolutely real. Further researches should be aimed at improving the system characteristics by reducing the mutual influence of levitation and traction processes.
An improved swarm intelligence algorithms-based nonlinear fractional order-PI...TELKOMNIKA JOURNAL
This paper presents a nonlinear fractional order proportional integral derivative (NL-FOPID) for autonomous underwater vehicle (AUV) to solve the path tracking problem under the unknown disturbances (model uncertainty or external disturbances). The considered controller schemes are tuned by two improved swarm intelligence optimization algorithms, the first on is the hybrid grey wolf optimization with simulated annealing (HGWO-SA) algorithm and an improved whale optimization algorithm (IWOA). The developed algorithms are assessed using a set of benchmark function (unimodal, multimodal, and fixed dimension multimodal functions) to guarantee the effectiveness of both proposed swarm algorithms. The HGWO-SA algorithm is used as a tuning method for the AUV system controlled by NL-FOPID scheme, and the IWOA is used as a tuning algorithm to obtain the PID controller’s parameters. The evaluation results show that the HGWO-SA algorithm improved the minimal point of the tested benchmark functions by 1-200 order, while the IWOA improved the minimum point by (1-50) order. Finally, the obtained simulation results from the system operated with NL-FOPID shows the competence in terms of the path tracking by 1-15% as compared to the PID method.
Dynamic modelling and optimal controlscheme of wheel inverted pendulum for mo...ijctcm
Unstable wheel inverted pendulum is modelled and controlled deploying Kane’s method and optimal
partial-state PID control scheme. A correct derivation of nonlinear mathematical model of a wheel inverted
pendulum is obtained using a proper definition of the geometric context of active and inertia forces. Then
the model is decoupled to two linear subsystems namely balancing and heading subsystems. Afterward
partial-state PID controller is proposed and formulated to quadratic optimal regulation tuning method. It
enables partial-state PID to be optimally tuned and guarantees a satisfactory level of states error and a
realistic utilization of torque energy. Simulation and numerical analyses are carried out to analyse
system’s stability and to determine the performance of the proposed controller for mobile wheel inverted
pendulum application.
Comparative Study of the Success of PI and PI-Fuzzy Controller for Induction ...inventionjournals
Asynchronous motors have a wide range of applications in the industry.Therefore, speed control of asynchronous motors is of great importance.Speed control of asynchronous motors based on vector control techniques to achieve high performance.The vector control technique, motor flux and moment variables can be controlled independently of each other.Because of the nonlinear and complex model of asynchronous motors, the speed control applications of these motors are not provided with great efficiency by classical control methods.Fuzzy logic controllers (FLC), which were successful in many areas, present great performance in speed control of an asynchronous motor.In this study, a simulation study regarding speed control of a threephase squirrel cage asynchronous motor was carried out with a PI-Fuzzy type FLC and a conventional PI type controller.The data obtained by simulation are evaluated and the performances of the control methods are compared.
This work treats the modeling and simulation of non-linear system behavior of an induction motor using backstepping sliding mode control (BACK- SMC). First, the direct field oriented control IM is derived. Then, a sliding for direct field oriented control is proposed to compensate the uncertainties, which occur in the control. Finally, the study of Backstepping sliding controls strategy of the induction motor drive. Our non linear system is simulated in MATLAB SIMULINK environment, the results obtained illustrate the efficiency of the proposed control with no overshoot, and the rising time is improved with good disturbances rejections comparing with the classical control law.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
The peer-reviewed International Journal of Engineering Inventions (IJEI) is started with a mission to encourage contribution to research in Science and Technology. Encourage and motivate researchers in challenging areas of Sciences and Technology.
Comparing of switching frequency on vector controlled asynchronous motorijscai
Nowadays, asynchronous motors have wide range use in many industrial applications. Field oriented
control (FOC) and direct torque control (DTC) are commonly used methods in high performance vector
control for asynchronous motors. Therefore, it is very important to identify clearly advantages and
disadvantages of both systems in the selection of appropriate control methods for many industrial
applications. This paper aims to present a new and different perspective regarding the comparison of the
switching behaviours on the FOC and the DTC drivers. For this purpose, the experimental studies have
been carried out to compare the inverter switching frequencies and torque responses of the asynchronous
motor in the FOC and the DTC systems under different working conditions. The dSPACE 1103 controller
board was programmed with Matlab/Simulink software. As expected, the experimental studies showed that
the FOC controlled motors has a lessened torque ripple. On the other hand, the FOC controlled motor
switching frequency has about 65-75% more than the DTC controlled under both loaded and unloaded
working conditions
Stability Control Structure of Hovercraft Prototype Utilising PID ControllerjournalBEEI
Hovercraft is a method of transportation as an option for clients who remain on the waterway and swamp surface. The issue with hovercraft is when dubious climate and natural condition, e.g. wind speed and wave tallness exasperate solidness of hovercraft to jeopardise the driver. We propose an approach to keep up adjust of the hovercraft by controlling the focal point of gravity (PG) to be determined position. The controller monitors the position of load to change the position. A 6-DOF IMU Sensor MPU 6050 was utilised to create information as an examination with setpoint. PID control strategy was employed. The test outcome demonstrates that the model of air cushion vehicle could keep its adjust the axis orientation of the roll in spite of the fact that it was less compelling in the pitch pivot direction.
FLC-Based DTC Scheme for a New Approach of Two-Leg VSI Fed Induction MotorIJERA Editor
A new Direct Torque Control (DTC) strategy for Induction Motor (IM) drive fed by a two leg three phase
inverter (i.e., Four switches are used in VSI) was proposed in this paper. The proposed methodology is based on
the emulation of operation of the conventional Six-switch three phase inverter. The combination of four
unbalanced voltage vectors is generated by the two-leg three phase inverter, approaching to the synthesis of the
six balanced voltage vectors of the conventional DTC. This approach has been implemented in the design of the
vector selection table of the proposed DTC strategy. Further, Fuzzy Logic Controller (FLC) is proposed in the
speed controller for the improvement of torque ripples. Convention DTC with Six Switch three phase VSI, twoleg
three phase VSI with PI and Fuzzy Controller are implemented using MATLAB/SIMULINK. Simulation
results have shown that the proposed DTC strategy, two-leg inverter fed IM drive revealed an improved
performance.
A Design Of Omni-Directional Mobile Robot Based On Mecanum WheelsIJRESJOURNAL
ABSTRACT:As one of the important branch of mobile robotics, wheel mobile robot has long been paid atten tion to by the research people at home and abroad for its high load ability, positioning accuracy, high efficiency, simple control, etc. Mobile robot has close relation to many technologies suc-h as control theory, computer tech nology, sensor technology, etc. Therefore, research on the mobile robot has important significance
Field oriented control and direct torque control are the most popular methods in high
performance industrial control applications for induction motors. Naturally, the strengths and
weaknesses of each control method are available. Therefore, the selection of optimum control
method is vitally important for many industrial applications. So, the advantages and the
disadvantages of both control methods have to be well defined. In this paper, a new and
different perspective has been presented regarding the comparison of the inverter switching
behaviours on the FOC and the DTC drivers. For this purpose, the experimental studies have
been carried out to compare the inverter switching frequencies and torque responses of
induction motors in the FOC and the DTC systems. The dSPACE 1103 controller board has
been programmed with Matlab/Simulink software. As expected, the experimental studies have
showed that the FOC controlled motors have had a lessened torque ripple. On the other hand,
the FOC controlled motor switching frequency has about 75% more than the DTC controlled.
PID vs LQR controller for tilt rotor airplane IJECEIAES
The main thematic of this paper is controlling the main manoeuvers of a tilt rotor UAV airplane in several modes such as vertical takeoff and landing, longitudinal translation and the most important phase which deal with the transition from the helicopter mode to the airplane mode and visversa based on a new actuators combination technique for specially the yaw motion with not referring to rotor speed control strategy which is used in controlling the attitude of a huge number of vehicles nowadays. This new actuator combination is inspired from that the transient response of a trirotor using tilting motion dynamics provides a faster response than using rotor speed dynamics. In the literature, a lot of control technics are used for stabilizing and guarantee the necessary manoeuvers for executing such task, a multiple Attitude and Altitude PID controllers were chosen for a simple linear model of our tilt rotor airplane in order to fulfill the desired trajectory, for reasons of complexity of our model the multiple PID controller doesnt take into consideration all the coupling that exists between the degrees of freedom in our model, so an LQR controller is adopted for more feasible solution of complex manoeuvering, the both controllers need linearization of the model for an easy implementation.
DEVELOPMENT AND IMPLEMENTATION OF A ADAPTIVE FUZZY CONTROL SYSTEM FOR A VTOL ...ijctcm
ABSTRACT
The studies in aerial vehicles modeling and control have been increased rapidly recently. This paper presents the modeling and control of a four rotor vertical take-off and landing (VTOL) vehicle. The modeling of the VTOL vehicle will be described by using Euler-Newton equations. In order to stable this vehicle and control the attitude of that, classical PID controller and a fuzzy system that adjusts the PID controller gains, have been designed. Although fuzzy control of various dynamical systems has been presented in literature, application of this technology to aerial vehicle control is quite new. This system has nonlinear characteristics where classical control methods are not adequate for stabilize that. On the other hand, fuzzy control is nonlinear and it is thus suitable for nonlinear system control. Matlab Simulink has been used to test, analyze and compare the performance of the controllers in simulations. Finally this presented controller will be implemented on a real vehicle and performance of that will be showed. This study showed that although, both of the classical PID and the fuzzy self-tuning PID controllers, can control the system properly, the second controller performed better than the classical PID controller.
In this paper, the design of a speed control scheme based on a total sliding mode control for Indirect Field Oriented of a three phase induction motor (IM) is proposed. Firstly, the indirect field oriented control is derived. Then, sliding mode control design is investigated to achieve a speed tracking objective under different load torque disturbance. Finally a dSPACE DS1104 R&D board is used to implement the proposed scheme. The experimental results released on 0.25 kW slip-ring IM show a high dynamic performance, fast transient response without overshot as well as a good load disturbances rejection response.
Dc chopper is a method of speed control of DC motor,The continuous and discontinuous conduction can effect the motor speed and a vibration may occur during the load.This article explains the causes of this phenomenon and the methods to avoid these drawbacks.
Comparison of Estimated Torques Using Low Pass Filter and Extended Kalman Fil...IAES-IJPEDS
Torque calculation process is one of the major concerns for controlling induction motors in industry, which requires very accurate state estimation of unmeasurable variables of nonlinear models. This can be solved if the variables used for torque calculation is accurately estimated. This paper presents a torque calculation based on a voltage model represented with a low-pass filter (LPF), and an extended Kalman filter (EKF). The experimental results showed that the estimated torque at low speed based on EKF is more accurate in the expense of more complicated and larger computational time.
Performance Analysis of a DTC and SVM Based Field- Orientation Control Induct...IJPEDS-IAES
This study presents a performance analysis of two most popular control strategies for Induction Motor (IM) drives: direct torque control (DTC) and space vector modulation (SVM) strategies. The performance analysis is done by applying field-orientation control (FOC) technique because of its good dynamic response. The theoretical principle, simulation results are discussed to study the dynamic performances of the drive system for individual control strategies using actual parameters of induction motor. A closed loop PI controller scheme has been used. The main purpose of this study is to minimize ripple in torque response curve and to achieve quick speed response as well as to investigate the condition for optimum performance of induction motor drive. Depending on the simulation results this study also presents a detailed comparison between direct torque control and space vector modulation based field-orientation control method for the induction motor drive.
The article gives the experimental results of the processes occurring in the combined system of traction and magnetic suspension, which was implemented on the basis of the linear switched reluctance motor. The goal of the research is to examine the possibility to combine the levitation and traction functions within one unit. The full- function physical model of the transport system with the magnetic suspension has been produced for experimental verification of the development concept for the combined system of traction and magnetic suspension. The research tests have been performed at the track structure with the limited length in order to study the processes, occurring in the most complicated start-up mode, when the discrete behavior of current in windings has the disturbance effect on the object levitation. The oscillograms of electromechanical transition processes, showing the mutual influence of traction subsystems and a suspension, are provided. The results of researches have illustrated dramatically that the development concept of the combined system of traction and magnetic suspension, based on the linear switched reluctance motor, is absolutely real. Further researches should be aimed at improving the system characteristics by reducing the mutual influence of levitation and traction processes.
An improved swarm intelligence algorithms-based nonlinear fractional order-PI...TELKOMNIKA JOURNAL
This paper presents a nonlinear fractional order proportional integral derivative (NL-FOPID) for autonomous underwater vehicle (AUV) to solve the path tracking problem under the unknown disturbances (model uncertainty or external disturbances). The considered controller schemes are tuned by two improved swarm intelligence optimization algorithms, the first on is the hybrid grey wolf optimization with simulated annealing (HGWO-SA) algorithm and an improved whale optimization algorithm (IWOA). The developed algorithms are assessed using a set of benchmark function (unimodal, multimodal, and fixed dimension multimodal functions) to guarantee the effectiveness of both proposed swarm algorithms. The HGWO-SA algorithm is used as a tuning method for the AUV system controlled by NL-FOPID scheme, and the IWOA is used as a tuning algorithm to obtain the PID controller’s parameters. The evaluation results show that the HGWO-SA algorithm improved the minimal point of the tested benchmark functions by 1-200 order, while the IWOA improved the minimum point by (1-50) order. Finally, the obtained simulation results from the system operated with NL-FOPID shows the competence in terms of the path tracking by 1-15% as compared to the PID method.
Dynamic modelling and optimal controlscheme of wheel inverted pendulum for mo...ijctcm
Unstable wheel inverted pendulum is modelled and controlled deploying Kane’s method and optimal
partial-state PID control scheme. A correct derivation of nonlinear mathematical model of a wheel inverted
pendulum is obtained using a proper definition of the geometric context of active and inertia forces. Then
the model is decoupled to two linear subsystems namely balancing and heading subsystems. Afterward
partial-state PID controller is proposed and formulated to quadratic optimal regulation tuning method. It
enables partial-state PID to be optimally tuned and guarantees a satisfactory level of states error and a
realistic utilization of torque energy. Simulation and numerical analyses are carried out to analyse
system’s stability and to determine the performance of the proposed controller for mobile wheel inverted
pendulum application.
Comparative Study of the Success of PI and PI-Fuzzy Controller for Induction ...inventionjournals
Asynchronous motors have a wide range of applications in the industry.Therefore, speed control of asynchronous motors is of great importance.Speed control of asynchronous motors based on vector control techniques to achieve high performance.The vector control technique, motor flux and moment variables can be controlled independently of each other.Because of the nonlinear and complex model of asynchronous motors, the speed control applications of these motors are not provided with great efficiency by classical control methods.Fuzzy logic controllers (FLC), which were successful in many areas, present great performance in speed control of an asynchronous motor.In this study, a simulation study regarding speed control of a threephase squirrel cage asynchronous motor was carried out with a PI-Fuzzy type FLC and a conventional PI type controller.The data obtained by simulation are evaluated and the performances of the control methods are compared.
This work treats the modeling and simulation of non-linear system behavior of an induction motor using backstepping sliding mode control (BACK- SMC). First, the direct field oriented control IM is derived. Then, a sliding for direct field oriented control is proposed to compensate the uncertainties, which occur in the control. Finally, the study of Backstepping sliding controls strategy of the induction motor drive. Our non linear system is simulated in MATLAB SIMULINK environment, the results obtained illustrate the efficiency of the proposed control with no overshoot, and the rising time is improved with good disturbances rejections comparing with the classical control law.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
The peer-reviewed International Journal of Engineering Inventions (IJEI) is started with a mission to encourage contribution to research in Science and Technology. Encourage and motivate researchers in challenging areas of Sciences and Technology.
Comparing of switching frequency on vector controlled asynchronous motorijscai
Nowadays, asynchronous motors have wide range use in many industrial applications. Field oriented
control (FOC) and direct torque control (DTC) are commonly used methods in high performance vector
control for asynchronous motors. Therefore, it is very important to identify clearly advantages and
disadvantages of both systems in the selection of appropriate control methods for many industrial
applications. This paper aims to present a new and different perspective regarding the comparison of the
switching behaviours on the FOC and the DTC drivers. For this purpose, the experimental studies have
been carried out to compare the inverter switching frequencies and torque responses of the asynchronous
motor in the FOC and the DTC systems under different working conditions. The dSPACE 1103 controller
board was programmed with Matlab/Simulink software. As expected, the experimental studies showed that
the FOC controlled motors has a lessened torque ripple. On the other hand, the FOC controlled motor
switching frequency has about 65-75% more than the DTC controlled under both loaded and unloaded
working conditions
Stability Control Structure of Hovercraft Prototype Utilising PID ControllerjournalBEEI
Hovercraft is a method of transportation as an option for clients who remain on the waterway and swamp surface. The issue with hovercraft is when dubious climate and natural condition, e.g. wind speed and wave tallness exasperate solidness of hovercraft to jeopardise the driver. We propose an approach to keep up adjust of the hovercraft by controlling the focal point of gravity (PG) to be determined position. The controller monitors the position of load to change the position. A 6-DOF IMU Sensor MPU 6050 was utilised to create information as an examination with setpoint. PID control strategy was employed. The test outcome demonstrates that the model of air cushion vehicle could keep its adjust the axis orientation of the roll in spite of the fact that it was less compelling in the pitch pivot direction.
FLC-Based DTC Scheme for a New Approach of Two-Leg VSI Fed Induction MotorIJERA Editor
A new Direct Torque Control (DTC) strategy for Induction Motor (IM) drive fed by a two leg three phase
inverter (i.e., Four switches are used in VSI) was proposed in this paper. The proposed methodology is based on
the emulation of operation of the conventional Six-switch three phase inverter. The combination of four
unbalanced voltage vectors is generated by the two-leg three phase inverter, approaching to the synthesis of the
six balanced voltage vectors of the conventional DTC. This approach has been implemented in the design of the
vector selection table of the proposed DTC strategy. Further, Fuzzy Logic Controller (FLC) is proposed in the
speed controller for the improvement of torque ripples. Convention DTC with Six Switch three phase VSI, twoleg
three phase VSI with PI and Fuzzy Controller are implemented using MATLAB/SIMULINK. Simulation
results have shown that the proposed DTC strategy, two-leg inverter fed IM drive revealed an improved
performance.
A Design Of Omni-Directional Mobile Robot Based On Mecanum WheelsIJRESJOURNAL
ABSTRACT:As one of the important branch of mobile robotics, wheel mobile robot has long been paid atten tion to by the research people at home and abroad for its high load ability, positioning accuracy, high efficiency, simple control, etc. Mobile robot has close relation to many technologies suc-h as control theory, computer tech nology, sensor technology, etc. Therefore, research on the mobile robot has important significance
Field oriented control and direct torque control are the most popular methods in high
performance industrial control applications for induction motors. Naturally, the strengths and
weaknesses of each control method are available. Therefore, the selection of optimum control
method is vitally important for many industrial applications. So, the advantages and the
disadvantages of both control methods have to be well defined. In this paper, a new and
different perspective has been presented regarding the comparison of the inverter switching
behaviours on the FOC and the DTC drivers. For this purpose, the experimental studies have
been carried out to compare the inverter switching frequencies and torque responses of
induction motors in the FOC and the DTC systems. The dSPACE 1103 controller board has
been programmed with Matlab/Simulink software. As expected, the experimental studies have
showed that the FOC controlled motors have had a lessened torque ripple. On the other hand,
the FOC controlled motor switching frequency has about 75% more than the DTC controlled.
PID vs LQR controller for tilt rotor airplane IJECEIAES
The main thematic of this paper is controlling the main manoeuvers of a tilt rotor UAV airplane in several modes such as vertical takeoff and landing, longitudinal translation and the most important phase which deal with the transition from the helicopter mode to the airplane mode and visversa based on a new actuators combination technique for specially the yaw motion with not referring to rotor speed control strategy which is used in controlling the attitude of a huge number of vehicles nowadays. This new actuator combination is inspired from that the transient response of a trirotor using tilting motion dynamics provides a faster response than using rotor speed dynamics. In the literature, a lot of control technics are used for stabilizing and guarantee the necessary manoeuvers for executing such task, a multiple Attitude and Altitude PID controllers were chosen for a simple linear model of our tilt rotor airplane in order to fulfill the desired trajectory, for reasons of complexity of our model the multiple PID controller doesnt take into consideration all the coupling that exists between the degrees of freedom in our model, so an LQR controller is adopted for more feasible solution of complex manoeuvering, the both controllers need linearization of the model for an easy implementation.
DEVELOPMENT AND IMPLEMENTATION OF A ADAPTIVE FUZZY CONTROL SYSTEM FOR A VTOL ...ijctcm
ABSTRACT
The studies in aerial vehicles modeling and control have been increased rapidly recently. This paper presents the modeling and control of a four rotor vertical take-off and landing (VTOL) vehicle. The modeling of the VTOL vehicle will be described by using Euler-Newton equations. In order to stable this vehicle and control the attitude of that, classical PID controller and a fuzzy system that adjusts the PID controller gains, have been designed. Although fuzzy control of various dynamical systems has been presented in literature, application of this technology to aerial vehicle control is quite new. This system has nonlinear characteristics where classical control methods are not adequate for stabilize that. On the other hand, fuzzy control is nonlinear and it is thus suitable for nonlinear system control. Matlab Simulink has been used to test, analyze and compare the performance of the controllers in simulations. Finally this presented controller will be implemented on a real vehicle and performance of that will be showed. This study showed that although, both of the classical PID and the fuzzy self-tuning PID controllers, can control the system properly, the second controller performed better than the classical PID controller.
Quadrotor by nature is a very unstable system and flying it without any feedback control algorithm is deemed impossible. However, before designing the control system, system identification need to be conducted as the accuracy of the control system depends highly on the accuracy of the model. Therefore, this paper explained the design of the quadrotor model with an “X” configuration using the Euler-Newton model. Two types of test rig were designed to measure the thrust coefficient, torque coefficient and throttle command relation parameter needed in the model. Other parameter such as moment of inertia was also being measured by separating the quad rotor model into several sections: Motors, Electronics Speed Controllers (ESC) and Central Hub. All parameters needed in the designed quad rotor model has been successfully identified by measuring the parameters using the custom-built quad rotor and test rigs. The parameters found in this paper will be used in designing the control system for the quadrotor.
Stability Control of an Autonomous Quadcopter through PID Control LawIJERA Editor
In the recent years the world has seen a astonishing ascendance of non tripulated vehicles, and among these is the quadrotors aircrafts or quadcopters. These types of aircraft have been of particular interest due to its easy maneuverability in closed and open spaces and somewhat simplified dynamics. In these paper is presented an first attempt in the built model, to control the 4 DOF(Degrees of freedom) of an soon to be autonomous quadcopter through PID law in an controlled environment.
DUAL NEURAL NETWORK FOR ADAPTIVE SLIDING MODE CONTROL OF QUADROTOR HELICOPTER...ijistjournal
An adaptive sliding mode control based on two neural networks is proposed in this paper for Quadrotor stabilization. This approach presents solutions to conventional control drawbacks as chattering phenomenon and dynamical model imprecision. For that reason two ANN for each quadrotor helicopter subsystem are implemented in the control loop, the first one is a Single Hidden Layer network used to approximate on line the equivalent control and the second feed-forward Network is used to estimate the ideal corrective term. The main purpose behind the use of ANN in the second part of SMC is to minimize the chattering phenomena and response time by finding optimal sliding gain and sliding surface slope. The learning algorithms of the two ANNs (equivalent and corrective controller) are obtained using the direct Lyapunov stability method. The simulation results are given to highlight the performances of the proposed control scheme.
The bionic flapping-wing drive mechanism analysis and designIJRES Journal
By comparing the advantages and disadvantages of the current drive mechanism, using Solid works
modeling technology, selected by the DC motor driven crank rocker mechanism, as this paper flapping wing
aircraft for the drive mechanism, select and calculate the motor to match the two cylindrical parameters gear
reducer. Drive mechanism will be established in Solid works model and the simulation results are analyzed in
order to obtain the optimal parameter solution.
Abstract This paper presents the design and implementation of a quadcopter capable of payload delivery. A quadcopter is a unique unmanned aerial vehicle which has the capability of vertical take-off and landing. In this design, the quadcopter was controlled wirelessly from a ground control station using radio frequency. It was modeled mathematically considering its attitude and altitude, and a simulation carried out in MATLAB by designing a proportional Integral Derivative (PID) controller was applied to a mathematical model. The PID controller parameters were then applied to the real system. Finally, the output of the simulation and the prototype were compared both in the presence and absence of disturbances. The results showed that the quadcopter was stable and able to compensate for the external disturbances.
Abstract This paper presents the design and implementation of a quadcopter capable of payload delivery. A quadcopter is a unique unmanned aerial vehicle which has the capability of vertical take-off and landing. In this design, the quadcopter was controlled wirelessly from a ground control station using radio frequency. It was modeled mathematically considering its attitude and altitude, and a simulation carried out in MATLAB by designing a proportional Integral Derivative (PID) controller was applied to a mathematical model. The PID controller parameters were then applied to the real system. Finally, the output of the simulation and the prototype were compared both in the presence and absence of disturbances. The results showed that the quadcopter was stable and able to compensate for the external disturbances.
Robust second order sliding mode control for a quadrotor considering motor dy...ijctcm
In this paper, a robust second order sliding mode control (SMC) for controlling a quadrotor with uncertain
parameters presented based on high order sliding mode control (HOSMC). A controller based on the
HOSMC technique is designed for trajectory tracking of a quadrotor helicopter with considering motor
dynamics. The main subsystems of quadrotor (i.e. position and attitude) stabilized using HOSMC method.
The performance and effectiveness of the proposed controller are tested in a simulation study taking into
account external disturbances with consider to motor dynamics. Simulation results show that the proposed
controller eliminates the disturbance effect on the position and attitude subsystems efficiency that can be
used in real time applications.
Robust Second Order Sliding Mode Control for A Quadrotor Considering Motor Dy...ijctcm
In this paper, a robust second order sliding mode control (SMC) for controlling a quadrotor with uncertain parameters presented based on high order sliding mode control (HOSMC). A controller based on the HOSMC technique is designed for trajectory tracking of a quadrotor helicopter with considering motor dynamics. The main subsystems of quadrotor (i.e. position and attitude) stabilized using HOSMC method. The performance and effectiveness of the proposed controller are tested in a simulation study taking into account external disturbances with consider to motor dynamics. Simulation results show that the proposed controller eliminates the disturbance effect on the position and attitude subsystems efficiency that can be used in real time applications.
Robust Second Order Sliding Mode Control for A Quadrotor Considering Motor Dy...ijctcm
In this paper, a robust second order sliding mode control (SMC) for controlling a quadrotor with uncertain parameters presented based on high order sliding mode control (HOSMC). A controller based on the HOSMC technique is designed for trajectory tracking of a quadrotor helicopter with considering motor dynamics. The main subsystems of quadrotor (i.e. position and attitude) stabilized using HOSMC method. The performance and effectiveness of the proposed controller are tested in a simulation study taking into account external disturbances with consider to motor dynamics. Simulation results show that the proposed controller eliminates the disturbance effect on the position and attitude subsystems efficiency that can be used in real time applications.
ABSTRACT: In order to achieve the precise control of the four rotorcraft, we must first obtain the accurate mathematical model of the four rotorcraft.This study analyzes the mechanical structure of the four rotorcraft and ignores the effects of the corresponding air resistance and the associated external secondary factors.The actual environment of the four rotorcraft is simplified, and the main factors of the four rotorcraft in motion are seized to establish a more accurate mathematical model.In the modeling process four-rotor aircraft, using the most current hot research field research methods.Mode using the angular velocity and the linear velocity of the separated solver and attitude by the coordinate transformation, and motion Newton Euler's formula to solve.Thereby establishing a nonlinear dynamic model four-rotor aircraft.Finally, a simplified mathematical model of four rotorcraft is obtained by comprehensive analysis of the relevant constraints of mathematical model of four rotorcraft.This makes the accuracy of the model aircraft system higher, more convenient control four rotorcraft.Which has certain reference value and guiding significance for the study of future stability of aircraft system.
Determination of the Operational Parameters of a Planar Robot with Three JointsWaqas Tariq
Robots are currently made in numerous types and are used in diverse roles such as production lines, daily living activities and some security fields. These types of robots are well designed and successfully applied in many areas requiring high sensitivity and stability. The aim of this study was to determine the optimum values of several operational parameters for a planar robot with respect to robot design and construction. With this aim, a small planar robot with a three-jointed arm activated by hydraulic cylinders in each segment was evaluated using a technical design drawing. The arm motions of the planar robot are rotary and parallel within a vertical plane. The resulting optimal operational parameters of the planar robot were determined as starting and target positions of 31.5 cm and 55 cm, respectively, on the x-axis and 17.18 cm and 118.44 cm on the y–axis. Time-position and time-velocity graphs were constructed corresponding to the orbit-planning parameters, resulting in Cartesian velocities for the terminal processor of 13.98 m/sec on the x-axis and 20.16 m/sec on the y-axis at 1.5 seconds after initiation. The maximum power consumption of the robot was determined as 1 kW according to the outer load and arm weights.
—This paper presents a new image based visual servoing (IBVS) control scheme for omnidirectional wheeled mobile robots with four swedish wheels. The contribution is the proposal of a scheme that consider the overall dynamic of the system; this means, we put together mechanical and electrical dynamics. The actuators are direct current (DC) motors, which imply that the system input signals are armature voltage applied to DC motors. In our control scheme the PD control law and eye-to-hand camera configuration are used to compute the armature voltages and to measure system states, respectively. Stability proof is performed via Lypunov direct method and LaSalle's invariance principle. Simulation and experimental results were performed in order to validate the theoretical proposal and to show the good performance of the posture errors. Keywords—IBVS, posture control, omnidirectional wheeled mobile robot, dynamic actuator, Lyapunov direct method.
Neural Network Control Based on Adaptive Observer for Quadrotor HelicopterIJITCA Journal
A neural network control scheme with an adaptive observer is proposed in this paper to Quadrotor helicopter stabilization. The unknown part in Quadrotor dynamical model was estimated on line by a
Single Hidden Layer network. To solve the non measurable states problem a new adaptive observer was proposed. The main purpose here is to reduce the measurement noise amplification caused by conventional
high gain observer by introducing some changes in observer’s original structure that can minimize the variance and the amplitude of the noisy signal without increasing tracking error. The stability analysis of the overall closed-loop system/ observer is performed using the Lyapunov direct method. Simulation results are given to highlight the performances of the proposed scheme.
Optimal FOPI-FOPD controller design for rotary inverted pendulum system using...TELKOMNIKA JOURNAL
The rotary inverted pendulum (RIP) has been used in various control application areas. This system can be represented as two degree of freedom (2-DOF), consisting of a rotating arm and rotating pendulum rod. RIP is an excellent example of designing a single-input multi-output (SIMO) system. Due to unstable RIP system dynamics, and its nonlinear model, multiple control techniques have been used to control this system. This paper uses integer and fractional order proportional integral-proportional derivative (PI-PD) controllers to stabilize the pendulum in the vertical direction. Constrained optimization approaches, such as the grey wolf optimization (GWO) methodology, are utilized to estimate the parametric values of the controllers. The simulation results showed that the fractional order PI-PD controller outperforms the integer order PI-PD controller with and without disturbance signal existence. A multiple results comparison has illustrated the superiority of fractional order controller over a previous work.
Design and Analysis of Articulated Inspection Arm of RobotIJTET Journal
Nowadays Robot play a vital role in all the activities in human life including industrial needs. There is a definite trend in the manufacture of robotic arms toward more dexterous devices, more degrees of-Freedom, and capabilities beyond the human arm. The ultimate objective is to save human lives in addition to increasing productivity and quality of high technology work environments. The objective of this project is to design, analysis of a Generic articulated robot Arm. This project deals with the modeling of a special class of single-link articulated inspection arms of robot. These arms consist of flexible massless structures having some masses concentrated at certain points of hollow sections at the beam. Some aspects of the articulated Robot that are anticipated as useful are its small cross section and its projected ability to change elevation and maneuver over obstacle require large joint torque to weight ratios for joint actuation. A knuckle joint actions actuation scheme is described and its implementation is detailed in this project. The parts of the (AIA) arm are analyzed for deflection and stress concentration under loading conditions in different angles.
The aim of this research is the speed tracking of the permanent magnet synchronous motor (PMSM) using an intelligent Neural-Network based adapative backstepping control. First, the model of PMSM in the Park synchronous frame is derived. Then, the PMSM speed regulation is investigated using the classical method utilizing the field oriented control theory. Thereafter, a robust nonlinear controller employing an adaptive backstepping strategy is investigated in order to achieve a good performance tracking objective under motor parameters changing and external load torque application. In the final step, a neural network estimator is integrated with the adaptive controller to estimate the motor parameters values and the load disturbance value for enhancing the effectiveness of the adaptive backstepping controller. The robsutness of the presented control algorithm is demonstrated using simulation tests. The obtained results clearly demonstrate that the presented NN-adaptive control algorithm can provide good trackingperformances for the speed trackingin the presence of motor parameter variation and load application.
This paper presents a fast and accurate fault detection, classification and direction discrimination algorithm of transmission lines using one-dimensional convolutional neural networks (1D-CNNs) that have ingrained adaptive model to avoid the feature extraction difficulties and fault classification into one learning algorithm. A proposed algorithm is directly usable with raw data and this deletes the need of a discrete feature extraction method resulting in more effective protective system. The proposed approach based on the three-phase voltages and currents signals of one end at the relay location in the transmission line system are taken as input to the proposed 1D-CNN algorithm. A 132kV power transmission line is simulated by Matlab simulink to prepare the training and testing data for the proposed 1D- CNN algorithm. The testing accuracy of the proposed algorithm is compared with other two conventional methods which are neural network and fuzzy neural network. The results of test explain that the new proposed detection system is efficient and fast for classifying and direction discrimination of fault in transmission line with high accuracy as compared with other conventional methods under various conditions of faults.
Among the most widespread renewable energy sources is solar energy; Solar panels offer a green, clean, and environmentally friendly source of energy. In the presence of several advantages of the use of photovoltaic systems, the random operation of the photovoltaic generator presents a great challenge, in the presence of a critical load. Among the most used solutions to overcome this problem is the combination of solar panels with generators or with the public grid or both. In this paper, an energy management strategy is proposed with a safety aspect by using artificial neural networks (ANNs), in order to ensure a continuous supply of electricity to consumers with a maximum solicitation of renewable energy.
In this paper, the artificial neural network (ANN) has been utilized for rotating machinery faults detection and classification. First, experiments were performed to measure the lateral vibration signals of laboratory test rigs for rotor-disk-blade when the blades are defective. A rotor-disk-blade system with 6 regular blades and 5 blades with various defects was constructed. Second, the ANN was applied to classify the different x- and y-axis lateral vibrations due to different blade faults. The results based on training and testing with different data samples of the fault types indicate that the ANN is robust and can effectively identify and distinguish different blade faults caused by lateral vibrations in a rotor. As compared to the literature, the present paper presents a novel work of identifying and classifying various rotating blade faults commonly encountered in rotating machines using ANN. Experimental data of lateral vibrations of the rotor-disk-blade system in both x- and y-directions are used for the training and testing of the network.
This paper focuses on the artificial bee colony (ABC) algorithm, which is a nonlinear optimization problem. is proposed to find the optimal power flow (OPF). To solve this problem, we will apply the ABC algorithm to a power system incorporating wind power. The proposed approach is applied on a standard IEEE-30 system with wind farms located on different buses and with different penetration levels to show the impact of wind farms on the system in order to obtain the optimal settings of control variables of the OPF problem. Based on technical results obtained, the ABC algorithm is shown to achieve a lower cost and losses than the other methods applied, while incorporating wind power into the system, high performance would be gained.
The significance of the solar energy is to intensify the effectiveness of the Solar Panel with the use of a primordial solar tracking system. Here we propounded a solar positioning system with the use of the global positioning system (GPS) , artificial neural network (ANN) and image processing (IP) . The azimuth angle of the sun is evaluated using GPS which provide latitude, date, longitude and time. The image processing used to find sun image through which centroid of sun is calculated and finally by comparing the centroid of sun with GPS quadrate to achieve optimum tracking point. Weather conditions and situation observed through AI decision making with the help of IP algorithms. The presented advance adaptation is analyzed and established via experimental effects which might be made available on the memory of the cloud carrier for systematization. The proposed system improve power gain by 59.21% and 10.32% compare to stable system (SS) and two-axis solar following system (TASF) respectively. The reduced tracking error of IoT based Two-axis solar following system (IoT-TASF) reduces their azimuth angle error by 0.20 degree.
Kosovo has limited renewable energy resources and its power generation sector is based on fossil fuels. Such a situation emphasizes the importance of active research and efficient use of renewable energy potential. According to the analysis of meteorological data for Kosovo, it can be concluded that among the most attractive potential wind power sites are the locations known as Kitka (42° 29' 41" N and 21° 36' 45" E) and Koznica (42° 39′ 32″ N, 21° 22′30″E). The two terrains in which the analysis was carried out are mountain areas, with altitudes of 1142 m (Kitka) and 1230 m (Koznica). the same measuring height, about 84 m above the ground, is obtained for these average wind speeds: Kitka 6,667 m/s and Koznica 6,16 m/s. Since the difference in wind speed is quite large versus a difference in altitude that is not being very large, analyses are made regarding the terrain characteristics including the terrain relief features. In this paper it will be studied how much the roughness of the terrain influences the output energy. Also, that the assumption to be taken the same as to how much they will affect the annual energy produced.
Large-scale grid-tied photovoltaic (PV) station are increasing rapidly. However, this large penetration of PV system creates frequency fluctuation in the grid due to the intermittency of solar irradiance. Therefore, in this paper, a robust droop control mechanism of the battery energy storage system (BESS) is developed in order to damp the frequency fluctuation of the multi-machine grid system due to variable active power injected from the PV panel. The proposed droop control strategy incorporates frequency error signal and dead-band for effective minimization of frequency fluctuation. The BESS system is used to consume/inject an effective amount of active power based upon the frequency oscillation of the grid system. The simulation analysis is carried out using PSCAD/EMTDC software to prove the effectiveness of the proposed droop control-based BESS system. The simulation result implies that the proposed scheme can efficiently curtail the frequency oscillation.
This study investigates experimentally the performance of two-dimensional solar tracking systems with reflector using commercial silicon based photovoltaic module, with open and closed loop control systems. Different reflector materials were also investigated. The experiments were performed at the Hashemite University campus in Zarqa at a latitude of 32⁰, in February and March. Photovoltaic output power and performance were analyzed. It was found that the modified photovoltaic module with mirror reflector generated the highest value of power, while the temperature reached a maximum value of 53 ̊ C. The modified module suggested in this study produced 5% more PV power than the two-dimensional solar tracking systems without reflector and produced 12.5% more PV power than the fixed PV module with 26⁰ tilt angle.
This paper focuses on the modeling and control of a wind energy conversion chain using a permanent magnet synchronous machine. This system behaves a turbine, a generator, DC/DC and DC/AC power converters. These are connected on both sides to the DC bus, where the inverter is followed by a filter which is connected to the grid. In this paper, we have been used two types of controllers. For the stator side converter, we consider the Takagi-Sugeno approach where the parameters of controller have been computed by the theory of linear matrix inequalities. The stability synthesis has been checked using the Lyapunov theory. According to the grid side converter, the proportional integral controller is exploited to keep a constant voltage on the DC bus and control both types of powers. The simulation results demonstrate the robustness of the approach used.
The development of modeling wind speed plays a very important in helping to obtain the actual wind speed data for the benefit of the power plant planning in the future. The wind speed in this paper is obtained from a PCE-FWS 20 type measuring instrument with a duration of 30 minutes which is accumulated into monthly data for one year (2019). Despite the many wind speed modeling that has been done by researchers. Modeling wind speeds proposed in this study were obtained from the modified Rayleigh distribution. In this study, the Rayleigh scale factor (Cr) and modified Rayleigh scale factor (Cm) were calculated. The observed wind speed is compared with the predicted wind characteristics. The data fit test used correlation coefficient (R2), root means square error (RMSE), and mean absolute percentage error (MAPE). The results of the proposed modified Rayleigh model provide very good results for users.
This paper deals with an advanced design for a pump powered by solar energyto supply agricultural lands with water and also the maximum power point is used to extract the maximum value of the energy available inside the solar panels and comparing between techniques MPPT such as Incremental conductance, perturb & observe, fractional short current circuit, and fractional open voltage circuit to find the best technique among these. The solar system is designed with main parts: photovoltaic (PV) panel, direct current/direct current (DC/DC) converter, inverter, filter, and in addition, the battery is used to save energy in the event that there is an increased demand for energy and not to provide solar radiation, as well as saving energy in the case of generation more than demand. This work was done using the matrix laboratory (MATLAB) simulink program.
The objective of this paper is to provide an overview of the current state of renewable energy resources in Bangladesh, as well as to examine various forms of renewable energies in order to gain a comprehensive understanding of how to address Bangladesh's power crisis issues in a sustainable manner. Electricity is currently the most useful kind of energy in Bangladesh. It has a substantial influence on a country's socioeconomic standing and living standards. Maintaining a stable source of energy at a cost that is affordable to everyone has been a constant battle for decades. Bangladesh is blessed with a wealth of natural resources. Bangladesh has a huge opportunity to accelerate its economic development while increasing energy access, livelihoods, and health for millions of people in a sustainable way due to the renewable energy system.
When the irradiance distribution over the photovoltaic panels is uniform, the pursuit of the maximum power point is not reached, which has allowed several researchers to use traditional MPPT techniques to solve this problem Among these techniques a PSO algorithm is used to have the maximum global power point (GMPPT) under partial shading. On the other hand, this one is not reliable vis-à-vis the pursuit of the MPPT. Therefore, in this paper we have treated another technique based on a new modified PSO algorithm so that the power can reach its maximum point. The PSO algorithm is based on the heuristic method which guarantees not only the obtaining of MPPT but also the simplicity of control and less expensive of the system. The results are obtained using MATLAB show that the proposed modified PSO algorithm performs better than conventional PSO and is robust to different partial shading models.
A stable operation of wind turbines connected to the grid is an essential requirement to ensure the reliability and stability of the power system. To achieve such operational objective, installing static synchronous compensator static synchronous compensator (STATCOM) as a main compensation device guarantees the voltage stability enhancement of the wind farm connected to distribution network at different operating scenarios. STATCOM either supplies or absorbs reactive power in order to ensure the voltage profile within the standard-margins and to avoid turbine tripping, accordingly. This paper present new study that investigates the most suitable-location to install STATCOM in a distribution system connected wind farm to maintain the voltage-levels within the stability margins. For a large-scale squirrel cage induction generator squirrel-cage induction generator (SCIG-based) wind turbine system, the impact of STATCOM installation was tested in different places and voltage-levels in the distribution system. The proposed method effectiveness in enhancing the voltage profile and balancing the reactive power is validated, the results were repeated for different scenarios of expected contingencies. The voltage profile, power flow, and reactive power balance of the distribution system are observed using MATLAB/Simulink software.
The electrical and environmental parameters of polymer solar cells (PSC) provide important information on their performance. In the present article we study the influence of temperature on the voltage-current (I-V) characteristic at different temperatures from 10 °C to 90 °C, and important parameters like bandgap energy Eg, and the energy conversion efficiency η. The one-diode electrical model, normally used for semiconductor cells, has been tested and validated for the polemeral junction. The PSC used in our study are formed by the poly(3-hexylthiophene) (P3HT) and [6,6]-phenyl C61-butyric acid methyl ester (PCBM). Our technique is based on the combination of two steps; the first use the Least Mean Squares (LMS) method while the second use the Newton-Raphson algorithm. The found results are compared to other recently published works, they show that the developed approach is very accurate. This precision is proved by the minimal values of statistical errors (RMSE) and the good agreement between both the experimental data and the I-V simulated curves. The obtained results show a clear and a monotonic dependence of the cell efficiency on the studied parameters.
The inverter is the principal part of the photovoltaic (PV) systems that assures the direct current/alternating current (DC/AC) conversion (PV array is connected directly to an inverter that converts the DC energy produced by the PV array into AC energy that is directly connected to the electric utility). In this paper, we present a simple method for detecting faults that occurred during the operation of the inverter. These types of faults or faults affect the efficiency and cost-effectiveness of the photovoltaic system, especially the inverter, which is the main component responsible for the conversion. Hence, we have shown first the faults obtained in the case of the short circuit. Second, the open circuit failure is studied. The results demonstrate the efficacy of the proposed method. Good monitoring and detection of faults in the inverter can increase the system's reliability and decrease the undesirable faults that appeared in the PV system. The system behavior is tested under variable parameters and conditions using MATLAB/Simulink.
The electrical distribution network is undergoing tremendous modifications with the introduction of distributed generation technologies which have led to an increase in fault current levels in the distribution network. Fault current limiters have been developed as a promising technology to limit fault current levels in power systems. Though, quite a number of fault current limiters have been developed; the most common are the superconducting fault current limiters, solid-state fault current limiters, and saturated core fault current limiters. These fault current limiters present potential fault current limiting solutions in power systems. Nevertheless, they encounter various challenges hindering their deployment and commercialization. This research aimed at designing a bridge-type nonsuperconducting fault current limiter with a novel topology for distribution network applications. The proposed bridge-type nonsuperconducting fault current limiter was designed and simulated using PSCAD/EMTDC. Simulation results showed the effectiveness of the proposed design in fault current limiting, voltage sag compensation during fault conditions, and its ability not to affect the load voltage and current during normal conditions as well as in suppressing the source powers during fault conditions. Simulation results also showed very minimal power loss by the fault current limiter during normal conditions.
This paper provides a new approach to reducing high-order harmonics in 400 Hz inverter using a three-level neutral-point clamped (NPC) converter. A voltage control loop using the harmonic compensation combined with NPC clamping diode control technology. The capacitor voltage imbalance also causes harmonics in the output voltage. For 400 Hz inverter, maintain a balanced voltage between the two input (direct current) (DC) capacitors is difficult because the pulse width modulation (PWM) modulation frequency ratio is low compared to the frequency of the output voltage. A method of determining the current flowing into the capacitor to control the voltage on the two balanced capacitors to ensure fast response reversal is also given in this paper. The combination of a high-harmonic resonator controller and a neutral-point voltage controller working together on the 400 Hz NPC inverter structure is given in this paper.
Direct current (DC) electronic load is a useful equipment for testing the electrical system. It can emulate various load at a high rating. The electronic load requires a power converter to operate and a linear regulator is a common option. Nonetheless, it is hard to control due to the temperature variation. This paper proposed a DC electronic load using the boost converter. The proposed electronic load operates in the continuous current mode and control using the integral controller. The electronic load using the boost converter is compared with the electronic load using the linear regulator. The results show that the boost converter able to operate as an electronic load with an error lower than 0.5% and response time lower than 13 ms.
More from International Journal of Power Electronics and Drive Systems (20)
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
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Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
Final project report on grocery store management system..pdfKamal Acharya
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Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
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Event Management System Vb Net Project Report.pdfKamal Acharya
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change the lifting force by changing the speed of any four rotors, so it can fly in space more stable, can
change the position and the angle to achieve the different requirements of the flight [9],[10]. Quad-rotor
MAV can bear the payload with more heavily than single-rotor. Because the Quad-rotor MAV has four rotors
with the symmetric structure, there is not the twisting moment which is produced by each rotor, so it is not
necessary to have an anti-torque propeller [11],[12]. Because of their wonderful advantage, Quad-rotor MAV
has been used for making the lower speed aircraft, flying into the barrier area, and it is suitable for a narrow
space. So, Quad-rotor MAV is the important topic of study among the researchers in the world. In this paper,
the authors propose a novel structure of control system for Quad-rotor MAV. Basing on the new structure,
the aircraft has excellent performance, simple structure, low cost, and can be applied in practice.
2. THE QUAD-ROTOR MOTION EQUATION
2.1. The quad-rotor model
The Quad-rotor has four rotors controlling four input forces respectively. The Quad-rotor model is
shown in Figure 1.
Figure 1. The Quad-rotor model and the coordinate system
The overall force is the sum of four the rotors forces. The Pitch movement is controlled by reducing
the front motor speed or increasing the rear motor speed. The Roll movement is controlled by reducing the
left motor speed or increasing and the right motor speed. The Yaw movement is controlled by decreasing the
front motor speed or increasing the rear motor speed combined with increasing or decreasing the speed of the
side motors [13]-[16].
2.2. The Quad-rotor dynamic equations
The Quad-rotor is a multi-variable and nonlinear object with 4 input signal controls but with 6
degrees of freedom. In order to control the coordinates of Quad-rotor from a point to the other point in the
space, it is very important to know the equations of Quad-rotor dynamic model, which is shown as follows
[17]-[20].
1
1
1
2
3
4
(sin sin cos sin cos )
( cos sin sin sin cos )
(cos cos )
y z TP
x x x
z x TP
y y y
x y
z z
U
x
m
U
y
m
U
z g
m
I I J U
p qr q
I I I
I I J U
q pr p
I I I
I I U
r pq
I I
(1)
with g is the gravitational acceleration, m is the weight of Quad-rotor, JTP is the inertia moment of the rotor. U1,
U2, U3, U4 and are
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4
3
2
1
2
3
2
1
2
4
2
2
4
2
1
2
3
3
2
2
2
4
2
2
4
2
3
2
2
2
1
1
)
(
)
(
)
(
)
(
dl
U
bl
U
bl
U
b
U
(2)
2.3. The equations of controller and other stages
The PID controller has the equation in Laplace as follows:
( ) ( ) ( )
i
p d
K
u s K sK e s
s
(3)
where: e is the error which is equal to the set value minus the real value. Kp is the gain coefficient, Ki is the
integral coefficient, Kd is derivative coefficient, u is the output value of the controller.
In this paper, we introduce two control structures for Quad-rotor. The first is the control structure with
the single loop [21], shown in Figure 2. The second is the control structure with the double loop [22], shown in
Figure 3. Both structures are included of three main parts.
The first part is the controller. In the single loop control structure, the controller is the control
algorithm block. In the double loop control structure, the controller includes two parts, which are the position
control block and the attitude block connected to each other. The second part is the inverse transformation
block. This block is built by the equations shown as follows:
1
2
3
4
(cos cos ) /
/
/
/
x
y
z
z g U m
U I
U I
U I
(4)
After the inverse transformation block, we received the signals shown as follows:
1
2
3
4
) / (cos cos )
(
x
y
z
U z g m
U I
U I
U I
(5)
The third part is the convert block of rotor speed. The equations of this block are as follows:
2
1 1 3 4
2
2 1 2 4
2
3 1 3 4
2
4 1 2 4
1 1 1
4 2 4
1 1 1
4 2 4
1 1 1
4 2 4
1 1 1
4 2 4
U U U
b bl d
U U U
b bl d
U U U
b bl d
U U U
b bl d
(6)
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Figure 2. The diagram of the control structure with single loop
Figure 3. The diagram of the control structure with double loop
3. BUILDING THE SIMULATION MODEL
3.1. The model of single loop control structure
We make the simulation diagram on the Matlab-Simulink software. The control structure with the
single loop is shown in Figure 4.
Figure 4. The single loop control structure
In Figure 4, the input block is the set values of the system. The control block is presented in detail as
Figure 5. The Motor block is built according to the equation (2) with the role is converting the output value of
controller into the value of motor speed 1, 2, 3, 4. The dynamic block is built by the equations of Quad-
rotor aircraft (1). The selector block is presented in detail as figure 6, with the role is selecting the signals such
as height (z), roll (ϕ), pitch (θ) and yaw (ψ) from the dynamic block into the IMU block. The IMU block is the
measurement system which measures height (z), roll (ϕ), pitch (θ) and yaw (ψ) signals send to the controller.
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Figure 5. The internal structure of control block
In Figure 5, the input 1 (In1) is the desired value of the height coordinate (z), the input 2 (In2) is the
real value of the height coordinate which is measured by the height sensor. The role of the z PID controller is
controlling the height coordinate (z), with input value is the error between In1 and In2. The input 3 (In3) is the
desired value of the angle coordinate (roll (ϕ), pitch (θ) and yaw (ψ)). The input 4 (In4) is the real value of the
angle coordinate which is measured by the angle sensor. There are three angle controllers which are the PID
controllers for the roll (ϕ), pitch (θ) and yaw (ψ) angle. The output signals of the control block (U1, U2, U3, U4)
are through the inverse transform block to convert into the control signals as 1, 2, 3 and 4. The inverse
transform block is built according to the equation (6). Figure 6 shows the Quad-rotor dynamic block which is
built according to the equation (1).
Figure 6. The Quad-rotor dynamic block
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3.2. The model of double loop control structure
The structure of single loop control has only four control signals, so Quad-rotor MAV only can be
reached the height and stability. However, it is important to note that we have to well-known the orbit of the
Quad-rotor MAV flight, and in order that Quad-rotor MAV can fly point-to-point, six coordinate variables
must be controlled. So the double loop control structure system is proposed to do that.
The control structure with the double loop is presented as Figure 7, the internal function blocks in
this control structure are built according to the equations (1)-(6).
Figure 7. The double loop control structure
There are similarities between the double loop structure control and the single loop structure control
relatively. However, there are some differences as: the input block in the double loop structure includes six
desired values, which are the x, y, z position coordinates and the Roll (ϕ), Pitch (θ), Yaw (ψ) angle coordinates
of the Quad-rotor. The selector block is used to select signals from the dynamic block into the IMU block, those
selection signals after crossing IMU is the input of the control block. The difference of the selector block in the
double loop control structure is that there are 6 signals (x, y, z position coordinates and Roll (ϕ), Pitch (θ), Yaw
(ψ) angle coordinates) instead of 4 signals in the single loop control structure. The role of the display block is
displaying the response of position coordinates (x, y, z) and angles coordinates (ϕ, θ, ψ) of the control system.
The control block is shown in detail as Figure 8. The role of the position control block is controlling
the x,y,z coordinates, with the input signals are In1 and In2. In1 is the desired values of x, y, z coordinates and
In2 are the real values of x, y, z coordinates from the sensor. The role of the transition block is calculating the
angles coordinates (ϕ, θ, ψ). The role of the attitude control block is controlling the angles coordinates, with In1
is the desired value of angles coordinates (ϕ, θ, ψ) from the transition block, In2 is the real values of angle
coordinates from the sensor. The role of the inversion block is converting the output values of the control block
into the rotor speed value of four rotors Ω1, Ω2, Ω3, Ω4.
Figure 8. Control blocks in the double loop control structure
4. THE SIMULATION RESULTS AND ANALYSIS
We execute the simulation in two cases. The first case is the single loop structure control, the
control signals are the height (z), roll (ϕ), pitch (θ) and yaw (ψ) coordinates. The second case is the double
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loop structure control, the control signals are the x, y z position coordinates and the Roll (ϕ), Pitch (θ), Yaw
(ψ) angle coordinates.
4.1. In the case of single loop structure
After many experimental studies, the parameter values of the PID controller for the height (z), roll
(ϕ), pitch (θ) and yaw (ψ) coordinates are shown in Table 1. Then, we test the ability of Quad-rotor to fly in
space with the initial angles (ϕ, θ, ψ) is (0.2, 0.2, 0.5) rad. The simulation results are shown in Figure 9.
Table 1. The single loop control structure parameters
Kp Ki Kd
Height 24.1 5.9 20.2
Roll 0.80 0 0.20
Pitch 0.80 0 0.20
Yaw 0.39 0.19 0.19
Figure 9. The simulation results of the single loop control structure: (a) Response of z; (b) Response of Roll;
(c) Response of Pitch; (d) Response of Yaw
The simulation results show that the initial angles are not balanced, after controlling (after the 3rd
second), the angle coordinates (ϕ, θ, ψ) are balanced with the values (0, 0, 0). The height coordinate (z)
reaches equilibrium at the height of 0.5 m. After the transition time, all coordinates have good equilibrium, it
is confirmed that the control structure works well and efficiently.
4.2. In the case of double loop structure
In the double loop structure control, we set the parameter values of the PID controller for the
position coordinates (x,y,z) and roll (ϕ), pitch (θ), yaw (ψ) coordinates as in Table 2. Running the Quad-rotor
fly from the position coordinates (x,y,z)=(0, 0, 0) to (0.1, 0.1, 1) m, and the angular coordinates (ϕ,θ,ψ)
change the desired value from (0, 0, 0) to (0.1, 0.1, 1) rad, the simulation results are shown in the Figure 10.
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Table 2. The double loop control structure parameters
Kp Ki Kd
X 0.078 0.0009 0.39
Y 0.078 0.0009 0.39
Z 24.1 5.9 20.1
Roll 0.69 0.0 0.13
Pitch 0.69 0.0 0.13
Yaw 0.059 0.009 0.19
Figure 10. The simulation results of double loop control structure: (a) Response of Roll;
(b) Response of Pitch; (c) Response of Yaw; (d) Response of x; (e) Response of y; (f) Response of z
The simulation results in Figure 10 show that the roll (ϕ), pitch (θ), yaw (ψ) coordinates attain the
desired coordinates after about 4 seconds, the position coordinates (x,y,z) attain the desired coordinates after
about 10 seconds. After the transition time, all coordinates are stable, it is confirmed that the double loop control
structure can control the Quad-rotor fly point-to-point well and efficiently.
5. THE EXPERIMENTAL RESULTS
After constructing the control structure for Quad-rotor and defining the control parameters, we
install on the real device, the Quad-rotor MAV model is shown as Figure 11.
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Figure 11. The Quad-rotor MAV model
Testing the system in the laboratory with the environment no disturbances caused by the wind. We
control the angular coordinates (ϕ,θ,ψ) changing the value from (-38,-20,-68) to (0, 0, -40) degree, and the x,
y and z coordinates changing the value from (0.2, 0.4, 0.4) to (0.8,0.6,.07) m, the experiment results are
shown in Figure 12, which includes the real signal values of Roll, Pitch, Yaw angle coordinates and the x, y, z
position coordinates.
Figure 12. The experiment results: (a) Roll Stabilization; (b) Pitch Stabilization; (c) Yaw Stabilization;
(d) Response of x; (e) Response of y; (f) Response of z
10. Int J Pow Elec & Dri Syst ISSN: 2088-8694
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The experiment results show that the responses of Roll, Pitch, Yaw coordinates (ϕ,θ,ψ) and the x, y
and z coordinates are good, all coordinates attain the desired value after about 4 seconds. However, the
angular coordinates have the fluctuation about ±5 degrees. The amplitudes of this fluctuation are small and
acceptable. So it is confirmed that the system control worked well and efficiently.
6. CONCLUSION
In this research, the authors have proposed two control structures for the Quad-rotor, particularly in
the control system structure with the double loop. The simulation results are presented to prove that six
coordinates (x,y,z,ϕ,θ,ψ) can be controlled by four rotors, so the Quad-rotor can fly point-to-point exactly in
the space. Then, the experimental results make certain that the Quad-rotor can go to the desired position and
the desired direction with the short transition time, so the proposed control structure can be applied in practice
with the low cost and the high-efficiency.
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