Optimal Torque Sharing-Based Direct Instantaneous Torque Control Strategy for Torque Ripple Reduction in Switched Reluctance Motors

This paper presents an enhanced Direct Instantaneous Torque Control (DITC) strategy based on an optimal Torque Sharing Function (TSF) using the Gray Wolf Optimization (GWO) algorithm to mitigate torque ripple and improve torque output, particularly in the commutation regions. The proposed approach incorporates the fast dynamic response of DITC with the smoothing capabilities of TSF to ensure effective phase torque distribution, thereby maintaining a constant instantaneous total torque. Subsequently, to further enhance torque quality and reduce the torque ripple, the TSF parameters, namely the switch-on, switch-off, and overlap angles, are optimized using the Gray Wolf Optimization (GWO) algorithm based on a multi-objective cost function that considers torque ripple minimization and improves efficiency. Simulation results validate the effectiveness of the proposed optimal TSF+DITC strategy in minimizing torque ripple and improving the overall performance of SRMs across a wide range of operating conditions. Furthermore, a comparative analysis is conducted against the optimized DITC method using a fourphase, 4 kW, 8/6 SRM prototype.