Torque Ripple Minimization in Switched Reluctance Motor Drives Using Torque Sharing Functions and Hybrid Meta-Heuristic Optimized Fractional Order Control for EV applications.

Abstract

Switched Reluctance Motor (SRM) technology has gained significant attention in various industries due to its reliability, cost-effectiveness and efficiency. However, torque ripple remains a major issue, impacting the performance of SRM drives. To overcome this limitation, a proposed cascaded fractional-order controller is introduced to reduce torque ripple in SRM drives. The work begins with modelling the 8/6 SRM and analyzing its magnetic characteristics using MATLAB/Simulink. Then, the Torque Sharing Function (TSF) is applied to the SRM to generate the reference phase torque. These TSF-based torque profiles are then converted into reference phase currents using flux and current characteristics. In additional, cascaded fractional order proportional integral tilt and fractional order proportional integral with one plus proportional integral derivative filter (FOPIT-FOPI-(1+PIDN)) controller is proposed to improve speed and current regulation. An advanced optimization techniques, hybrid salamander orangutan optimization algorithm (HSOA), is used to fine-tune gain parameters and commutation angles. The result demonstrates significant improvements in torque ripple reduction of 0.45%, output power by 3346.07W, average torque of 6.8205 Nm and efficiency of 97.14%. These findings highlight the effectiveness of the proposed (FOPIT-FOPI-(1+ PIDN)) strategy in reducing torque ripple and improving efficiency, providing a promising solution for SRM-based drive systems.