Adaptive nonlinear current controller for switched reluctance motor torque ripple optimization

Abstract

This paper deals with torque ripple minimization in SRM through adaptive nonlinear current control while considering saturation. The proposed methodology for SRM speed tracking is based on Indirect Instantaneous Torque Control (IITC). Optimal references are determined offline using the Particle Swarm Optimization (PSO) algorithm. The optimal current profile is generated by using current sharing function (CSF) block. The nonlinear speed and current controllers are developed using Backstepping technique. The proposed control strategy performance is evaluated using a Matlab Simulink model taking into account the saturation phenomena. The obtained results demonstrate that the adaptation of the control angles as well as the peak current minimizes the torque ripples for different operating conditions.