Multi-objective optimized controller for torque ripple minimization of switched reluctance motor drive system

Abstract

Background/Objectives: In this paper, BC based optimized PID controller is developed for torque ripple minimization of SRM drive system. The proposed control algorithm comprised two optimized PID controllers for speed error and current error regulation loops of the SRMD control system. The proposed control algorithm is also optimizes the commutation angles for reducing the high torque ripples. Methods/Statistical Analysis: A new control algorithm for Torque Ripple Minimization of Switched Reluctance Motor (SRM) Drive system is proposed. The proposed control algorithm comprised two optimized Proportional, Integral and Derivative (PID) controllers for speed error and current error regulation loops of the SRMD control system. The proposed control algorithm is also optimizes the commutation angles for reducing the high torque ripples. In the proposed optimized controller, Artificial Bees Colony algorithm (ABC) is the optimization algorithm implemented to tune the gains of both PID controllers and commutation angles of the converter circuit. For tuning the accurate gains and angles, the multi objective functions are developed. The effectiveness of the proposed BC algorithm is implemented in the MATLAB/SIMULINK platform. Findings: The proposed control algorithm is based on the optimized PID controller for the speed and the current loops of the SRM drive system. The proposed control algorithm was used to optimize the gain parameters of the PID controller along with the commutation angles of the inverter. Here, the minimization of the error values of speed and torque serves as the objective functions. The advantages of the proposed method are robust performance as well as the increased level of reliability and flexibility in solving more complex problems. Applications/Improvements: The results obtained include superior performance with degradation in torque ripple and settling time. These merits are produced with elitism and a high-speed global search methodology, thus enhancing the dynamic performance of the SRM drives.