A Multi-Objective Particle Swarm Optimization based Current Control and Torque Control for 8/6 Switched Reluctance Motor

The high torque ripples developed in the switched reluctance motor (SRM) limit its usage for high-performance applications. The methods designed to lower the torque ripple affects the efficiency of drive system. This paper introduces a comprehensive analysis of particle swarm optimization (PSO) based tuning of the hysteresis current controller and direct instantaneous torque controller for a 4-phase 8/6 SRM. The controller parameters and commutation angles are optimized for reduced torque ripple, improved efficiency, and better steady-state performance. Simulations are run in the MATLAB/SIMULINK environment and the results support the efficacy of the suggested method.