PERFORMANCE ANALYSIS OF SPEED CONTROL STRATEGY FOR SWITCHED RELUCTANCE MOTOR

Electrical and Electronics Engineering

Switched Reluctance Motor (SRM) has several desirable features, including simple construction, high reliability and low cost. However, it suffers from large torque ripple and large noise. In addition, highly non-uniform torque output and magnetization characteristics lead to complication of the control system. Several studies have succeeded in torque ripple reduction for SRM using Direct Torque Control (DTC) technique. A novel adaptive Takagi–Sugeno– Kang (TSK) fuzzy controller (ATSKFC) to regulate the speed of a switched reluctance motor (SRM). The proposed controller comprises two parts: a TSK-fuzzy controller and a compensated controller. The TSK-fuzzy controller is the main controller, which is used to approximate an ideal control law. This paper presents a novel approach for starting torque maximization of a five-phase 10/8 SRM with short flux path. Unlike the conventional method, this approach emphasizes maximizing the average torque of any one phase during one electrical cycle at a given speed regardless of possible instantaneous negative torque during part of the conduction interval. An on-line tuning methodology based on Lyapunov is utilized to adjust the parameters of the ATSKFC, so that the stability of the control system can be guaranteed. Three control schemes, ATSKFC, fuzzy control, and PI speed control, are verified through simulation.DTC method has many advantages such as simple algorithm, less torque ripple and instantaneous response to the torque command. In this paper, DTC of a 5 phase 10/8 SR motor is proposed. Performance of the motor is studied through the computer simulation in MATLAB/SIMULINK. The simulation results are compared to corresponding results of the same motor.

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