Speed Control Of Switched Reluctance Motor Research Articles

Optimized Power Factor Correction for High Speed Switched Reluctance Motor

The Power Factor Correction (PFC) in Switched Reluctance (SR) motor is discussed in this article. The SR motors are applicable for multiple applications like electric vehicles, wind mills, machineries etc. The doubly salient structure of SR motor causes the occurrence of torque ripples, which affects the power factor of the motor. To improve the power quality, the power factor has to be corrected and the ripples have to be minimized. In order to achieve these objectives, a novel power factor correction (PFC) method is proposed in this work. Here, the conventional Diode Bridge Rectifier (DBR) is replaced by a Bridgeless Hybrid Resonant (HR) converter, which assists in improvising the output in a wider range. The converter is chosen because of having variety of beneficial measures including high gain. The converter’s output is fed to the SR motor by means of an asymmetric Bridge Resonant (BR) converter. The proposed converter operates in continuous mode of conduction with the switching frequency of 10 KHz. A hysteresis current controller and Proportional Integral (PI) controller are utilized for reducing the harmonics in the source current along with the regulation of output voltage. In addition, the speed control of SR motor is accomplished by means of the Whale Optimization Algorithm (WOA) assisted PI controller. The proposed methodology is effective for the control of unity power factor, torque and current ripples. The Total Harmonic Distortion (THD) of the source current is also minimized, which suits the standard of International Electrotechnical Comission IEC 61000-3-2. By this methodology, the power factor of 0.99 is achieved with 97% efficiency and 3.92% THD. The proposed methodology is validated in simulation by MATLAB and in hardware by FPGA Spartan 6E.

Speed Control of Switched Reluctance Motor Based on Regulation Region of Switching Angle

This paper studies the speed control strategy of a switched reluctance motor based on angle-position control (APC). The switched reluctance motor has three control parameters: turn-on angle, turn-off angle and voltage PWM duty cycle. This paper studies the function of the three parameters and designs the control algorithms of the parameters, respectively, which can reduce the coupling degree, simplify the control process, and realize the optimal control of the switched reluctance motor. By studying the nonlinear characteristics of the switched reluctance motor, the optimal current waveform in the effective working range of the inductor is obtained, and then a control strategy of the turn-on angle is designed to realize the ideal winding current waveform. According to the torque characteristics of the motor, taking the coincidence of the freewheeling zero point and the position angle at the end of the maximum inductance interval as the control target, a control strategy for the turn-off angle that makes full use of the effective inductance working interval is proposed, which improves the efficiency of the system. For the nonlinear and time-variant switched reluctance motor running process, a data-driven model-free adaptive control algorithm is introduced, and a switched reluctance motor speed control algorithm based on voltage PWM duty cycle is designed. The main contribution of this paper is to propose a control strategy that is generally applicable to switched reluctance motors, which does not depend on the precise mathematical model of the motor. The control algorithms are designed separately for the three control parameters according to the characteristics of the motor, which reduces the degree of coupling among them. A switched reluctance motor drive system based on angle-position control is designed. This strategy is especially suitable for driving the load with sudden large torque pulsation.

ANFIS based speed and current control with torque ripple minimization using hybrid SSD-SFO for switched reluctance motor

SRM (Switched Reluctance motor) is gaining much interest in industries due to its straightforward structure, low-cost manufacturability and dependability which makes it better than other electric machines. SRM drive is the most appropriate for variable speed tasks. Additionally, the performance of the current and speed control for the SRM driver framework could be negatively influenced by noise, disturbances, and inactivity of load torque. To solve this difficulty, this paper develop an ANFIS based Speed and Current control with Torque Ripple Minimization using Hybrid SSD-SFO for SRM. The main goal of this work is to obtain preferred current and speed performance of SRM with minimum torque ripple. For concurrent regulator of the speed and current, an ANFIS (Adaptive Neuro-Fuzzy Inference System) structure is employed which includes two controlling loops. The inside loop is regulated for control of current and the outside loop is regulated for control of speed even with perfect choice of switching angles. The dynamic conduct of SRM is studied to restrict the current and speed that reduces the ripple of torque. Hybrid SSD-SFO (social ski-diver based sunflower optimization) procedure is employed to achieve the parameter values of current and speed control of SRM. The proposed scheme is accomplished by MATLAB/ Simulink environment. The results show that the hybrid SSD-SFO scheme given the better performance compared to the SSD and SFO algorithm.

Artificial Intelligent Controller-Based Speed Control of Switched Reluctance Motor

A new control methodology for controlling the speed of switched reluctance motor (SRM) drive using an intelligent controller is proposed in this paper. The control technology consists of an outer loop fuzzy controller as a speed controller and hysteresis current controller as the inner control loop along with control of switching angles for the four-phase, 8/6 SRM. In this proposed method, the speed control is optimized using the randomly determined fuzzy parameters. Fuzzy interfaced speed control of SRM is simulated using MATLAB/SIMULINK software. The robust performance of the fuzzy logic controller is valued using the least combinations (matrix) of rules for wide ranges of speed and is compared with the proportional-integral (PI) controller. Simulation results reveal that fuzzy-based speed controller gives enhanced performance in the form of quick speed response varies between 0.02sec to 0.12 sec over an extensive range of speed thereby improving the dynamic efficiency of the SRM drive.

Novel Bio-Inspired Algorithm for Speed Control and Torque Ripple Reduction of Switched Reluctance Motor in Aerospace Application

Switched Reluctance Motor (SRM) is an electrical motor which operates by a reluctance torque that has stator and rotor salient poles. It also has a simple configuration and reasonable power electronics necessity for both AC and DC machines within adjustable-speed drives. The problem working on it is, SRM with doubly salient poles introduce a torque ripple in its output which leads to deteriorated performance on speed control. In this proposed work, torque ripple reduction and speed control of SRM is implemented, utilizing an asymmetrical converter with PI-PWM controller with the aid of Bio-inspired algorithms. By utilizing the best value of flux, torque ripple and integral square error of speed and settling times, controller design is performed. The proposed research work compares three optimization algorithms namely Crow Search Algorithm, an Improved Ant Lion Optimization Algorithm and Modified Chaotic Starling Particle Swarm technique to control the speed and torque reduction of SRM in aerospace applications. To obtain the optimal parameter values, optimization techniques are introduced and the optimized controller results are compared with other conventional controller results. In normal operation, the engine operates with two phases simultaneously, but it is modelled to meet the load specification, which is single and double phase faulty. Detection of fault gives a great outcome in control of an electrical drive system. Reduction of faulty operation time leads to better motor lifetime that is obtained by early detection of a fault. This paper presents how the five-phase switched reluctance motor is designed to meet the needs of flap actuators in mid-sized aircraft. Electrical systems are modelled to provide the right functionality at the right time in advanced aircraft. However, requirement of power for the landing gear and secondary flight control only a short duration. The system is powered on and off as required, thus preserving power. Control performance and fault analysis were verified by the results of the MATLAB simulation. Experiments have been carried out more effectively to compare the results obtained with those of simulations.

WITHDRAWN: Design of asymmetry converter to control SRM machine speed and torque ripple for electric vehicle applications

Industrially more useful Switched reluctance motor (SRM) is receiving additional research interest due to its various properties such as high‐speed operation, low cost, higher power density and independent of temperature. However, SRM has the drawbacks due to uncontrolled speed, vibration, noise, low efficiency and complex with low power. Hence, this work investigated the proposed model of asymmetry bridge converter with SRM to rectify speed control issue and torque instead of using C dump for electric vehicle applications. The simulations were carried using MATLB for the speed control of SRM. In addition this work discussed different topologies reported about SRM designs.

Speed Control for SRM Drive System Based on Switching Variable Proportional Desaturation PI Regulator

This paper develops a novel switching variable proportional desaturation proportional integral (SVPDPI) regulator for speed control of switched reluctance motor (SRM) drive system. Firstly, the idea of desaturation is adopted in the SRM drive system in order to eliminate the integral saturation phenomenon of traditional proportional integral (PI) regulator. Secondly, the variable proportional desaturation PI (VPDPI) regulator is proposed to enhance the response speed of SRM drive system by introducing the concept of variable proportion. In addition, in order to improve the smoothness of the SRM start-up speed, a switching speed regulator is further designed based on the VPDPI regulator. Finally, the principle of error threshold segmentation is introduced into SVPDPI regulator, whose control performance is compared with among other three regulators under rated speed, various speeds and load-torque conditions. Meanwhile, the dynamic performance, steady performance and start-up performance are comprehensively analyzed. The simulation experiment results commendably indicate that the proposed SVPDPI regulator is superior in tracking performance, anti-disturbance performance and speed range.

Conduction Angle Control of Switched Reluctance Motor

This paper presents a microcontroller based closed loop speed control of Switched Reluctance Motor (SRM) drive powered through Asymmetric Half Bridge Converter (AHBC). Conduction angle control method is adopted for speed control and it is done by adjusting the duty cycle of PWM signal using a potentiometer. The performance comparison of speed control of SRM drive through single switch per phase converter and AHBC is performed with the help of soft chopping in conduction angle control method.

Modeling and simulation of three-phase 6/4 switched reluctance motor speed control system

To improve the response ability of the motor and reduce the torque ripple, we take the three-phase 6/4 SRM as the research object, according to the structure and characteristics of the SRM speed control system, the SRM speed and current double closed-loop control system are established and the current chopping control mode is adopted to change the motor speed. According to the mathematical model of SRM, then the model of each module of the speed control system is established by Matlab/Simulink. The simulation and performance analysis are carried out. The results show that the simulation model double closed loop control method can improve the system response ability, improve the stability of the motor and reduce the torque ripple.

MFO-ANN based FOPID Controller for Torque and Speed Control of SRM Drive System

This paper proposed an optimal control algorithm based Fractional Order PID (FOPID) controller for the torque ripple minimization of Switched Reluctance Motor (SRM) drive system. That convalesce both control loop task, the Moth Flame Optimization (MFO)- Artificial Neural Network (ANN) algorithm is insinuated. The routine of intelligent technique is principally as the objective function of system error minimization. At this time the quality inspired algorithm of MFO is firstly reconnoitered to optimize the speed and torque error from the SRM system. Instead the output of MFO algorithm is optimized and to finding the premium value, the ANN method is recuperated. Nonetheless, the output of MFO-ANN is imperiled to the input of FOPID controller. For tweaking the exact FOPID gains, the multi objective functions are grew. Created on the operation of propositioned algorithm by normalize the system speed and minimalize the torque ripples of SRM system. The qualities of the suggested procedure are force falconer and in addition to augmented level of the reliability and flexibility in answering the system error. Also the enactment of proposed MFO-ANN process is executed in the MATLAB/Simulink running platform.

The Design of Flux Linkage Measurement for Switched Reluctance Motor

A Back Propagation neural network (BPNN) flux linkage model was proposed based on the measured magnetization curve for 8/6 poles switched reluctance motor (SRM). A flux linkage measuring installation is set up by using a digital signal processor (DSP) and measuring the voltage of winding under different rotor positions and different current values, then obtained the value of the corresponding flux linkage and the rotor magnetization characteristics of different positions.The flux linkage has higher accuracy. The design has the actual reference value to the high performance speed control of SRM.

Speed Control Strategy of Switched Reluctance Motor

针对开关磁阻电机的调速控制系统的起动方式和速度控制开展研究，采用两相绕组通电起动的方式，以增大转矩、减小转矩脉动。提出了模糊–自适应整定PID控制算法，并以STM32 + FPGA为主控制器，应用低速电流斩波、高速角度位置控制方式设计了开关磁阻电机调速系统。对于解决超调量高、动态响应慢的不足、精确度不高的问题有一定的效果。实验结果表明，系统转速的精确度在10 r/min之内，最大超调量为15 r/min。 Aimed at research on starting mode and speed control of switched reluctance motor speed control system, a two-phase starting is adopted to start the electric, in order to increase the torque and reduce the torque ripple. A fuzzy adaptive PID control algorithm is proposed, and a switched reluctance motor speed control system with STM32 + FPGA as the main controller is designed, applying current chopping in low speed and angle position control mode in high speed, which has a certain effect on solving the problems of high overshoot, slow dynamic response and low accuracy. The experimental results show that the precision of the system speed is within 10 r/min, and the maximum overshoot is 15 r/min.

FPGA Based Speed Control of SRM with Optimized Switching Angles by Self Tuning

The electromagnetic torque and speed in Switched Reluctance Motor (SRM) greatly depend on the excitation parametersi.e. turn-on angle, turn-off angle, dwell angle and magnitude of the phase currents of its phases. At lower speeds, a change in the current contributes the torque requirement which can be achieved either by voltage control (pulse width modulation) or instantaneous current control techniques. At high speeds, due to high back EMF, the regulation of current is crucial and achieved with the control of switching angles of phases. This type of control is referred as average torque control, where the torque is averaged over one stroke (2π/Nr). With constant dwell angle, advancing the phase angle influences the current into the phase winding at minimum inductance position. It has more time to get the current out of the phase winding before the rotor reaches the negative inductance slope. To maintain the speed of the motor at different load conditions, the turn-on and turn-off angles are adaptively varied. The change in dwell angle may be required where the turn-on and turn-off angle may not be sufficient to reach the required speed. In this paper, a new algorithm is proposed for self tuning of switching parameters of SRM. The proposed algorithm is simulated in MATLAB-Simulink and experimentally validated with Field Programmable Gated Array (FPGA) using MATLAB- system generator environment.

Fuzzy Sliding Mode Control of a Switched Reluctance Motor

The simplicity, ruggedness, and low cost of a switched reluctance motor (SRM) makes it a viable candidate for various general-purpose adjustable-speed and servo-type applications. Sliding mode control (SMC) is one of the popular strategies to deal with uncertain control systems. The Fuzzy Sliding Mode Controller (FSMC) combines the intelligence of a fuzzy inference system with the sliding mode controller.PI controllers are generally used for the speed control of SRM main drawback of PI controller is high overshoot and large settling time. The main reason for this high overshoot and large settling time is due to the fixed nature of the controller parameters. In this paper, mathematical modelling of 6/4 SRM has been developed, speed performance of the motor using PI controller and FSMC has been analysed. Results of this study show that the overshoot is completely eliminated and the speed of response is improved when Fuzzy SMC is used for the speed control of SRM.

ACO based speed control of SRM fed by photovoltaic system

Abstract This paper proposes a speed control of Switched Reluctance Motor (SRM) supplied by Photovoltaic (PV) system. The proposed design of the speed controller is formulated as an optimization problem. Ant Colony Optimization (ACO) algorithm is employed to search for the optimal Proportional Integral (PI) parameters of the proposed controller by minimizing the time domain objective function. The behavior of the proposed ACO has been estimated with the behavior of Genetic Algorithm (GA) in order to prove the superior efficiency of the proposed ACO in tuning PI controller over GA. Also, the behavior of the proposed controller has been estimated with respect to the change of load torque, variable reference speed, ambient temperature, and radiation. Simulation results confirm the better behavior of the optimized PI controller based on ACO compared with optimized PI controller based on GA over a wide range of operating conditions.

Smart bacterial foraging algorithm based controller for speed control of switched reluctance motor drives

In this paper, a innovative methodology for Switched Reluctance Motor (SRM) drive control using Smart Bacterial Foraging Algorithm (SBFA) is presented. This method mimics the chemotactic behavior of the E. Coli bacteria for optimization. The proposed algorithm uses individual and social intelligences, so that it can search responses among local optimums of the problem adaptively. This method is used to tune the coefficients of a conventional Proportion–Integration (PI) speed controller for SRM drives with consideration of torque ripple reduction. This matter is done by applying the proposed algorithm to a multi-objective function including both speed error and torque ripple. This drive is implemented using a DSP-based (TMS320F2812) for an 8/6, 4-kW SRM. The simulation and experimental results confirm the improved performance of adjusted PI controller using SBFA in comparison with adjusted PI controller using standard BFA. Excellent dynamic performance, reduced torque ripple and current oscillation can be achieved when the coefficients of PI controller are optimized by using SBFA.

Design of Switched Reluctance Motor Speed Control System Base on DSP

Switched Reluctance Motor has become one of hot topics of the international transmission for its simple structure,wide speed range and low cost, etc. In this thesis, based on TI's 32-bit DSP (TMS320F240) and following the principles of structure matching, high efficiency, easy to control, switched reluctance motor speed control system is designed using a minimum program of the main switching device. The parts of design include power converter, controller and software components.

Sliding Mode Control of Switched Reluctance Motor with High Torque in Low Speed

This paper analysis the problem of a switched reluctance motor (SRM), which is based on the phase currents by using three independent current sensors. In addition, the reaching condition and stability conditions of sliding mode control (SMC) method has been discussed, and it has been applied to SRM speed control loop that compensates the torque ripple on the torque output. The proposed sliding mode controller performs better than the traditional PI controllers and is also more effectively to the external disturbances. For the switched reluctance motor, one of the factors of the torque ripple is mutual inductances, so the mathematical model of the SRM should consider its influence. And, the mechanical sensor has been used to sense the rotor position. The simulation experiment results of the control scheme using Matlab show that the proposed method for the switched reluctance motor is effective.

철도차량용 스위치드 릴럭턴스 전동기의 설계 및 속도제어에 관한 연구

3차원 유한요소법을 이용하여 엔드코일 효과를 고려한 SRM의 자계해석을 수행하였다. 고정자 극 형상에 따른 자계특성의 비교를 통하여 제안된 형상에서 자계특성이 향상됨을 확인하였다. 해석한 자계특성을 적용하여 철도부하에 대한 PI 제어기와 슬라이딩모드 제어기의 속도제어를 수행하였다. 속도 제어 시뮬레이션은 Matlab-Simulink를 사용하여 구현되었으며 부하 가변 조건에서 슬라이딩모드 제어기가 PI 제어기에 비해 더 우수한 과도응답 및 정상상태응답을 나타냄을 확인하였다. In this paper, a magnetic analysis of SRM(Switched Reluctance Motor) using 3d finite element method considering end-coil effect is presented. SRM models with different stator pole shapes are taken into consideration for the analysis of magnetic characteristics. It is observed that a stator pole shape model having a pole shoe depth is the most suitable one for railway traction application because it gives an improved inductance and torque characteristic. For a speed control of SRM, the PI and sliding mode controllers are applied to designed SRM with magnetic characteristic data obtained from the magnetic analysis. The simulations are carried out using Matlab-Simulink and the control performance is analyzed. By employing the sliding mode controller, the transient response as well as the steady-state error are much improved under a load variation of railway resistance under operation.

Torque ripple minimization of a switched reluctance motor by using continuous sliding mode control technique

This paper proposes a new method to minimize torque ripple of a switched reluctance motor (SRM), which is based on the control of the sum of the square of the phase currents by using only two current sensor and analog multipliers. In addition, the sliding mode control (SMC) technique has been applied to SRM speed control loop that compensates the low frequency oscillations on the torque output. The applied sliding mode controller adjusts the value of the reference current to keep the speed of the motor constant. The proposed sliding mode continuous controller performs better than PI and Fuzzy controllers and is also more robust to the external disturbances. The results show that the continuous sliding mode controller is effective compared to PI or Fuzzy controllers in reducing the torque ripple of the motor, compensating for the nonlinear torque characteristics and making the drive insensitive to parameter variations as well. Since, mutual inductances have an important disturbance effect on the torque ripple, mathematical model of the SRM has been derived in presence of them. It has been used a completely analog system to implement the proposed algorithm. Also, a mechanical sensor has been used to sense the rotor position. Simulation and experimental results are given to validate the proposed method for the self and mutual inductances and current measurements.