Torque Ripple Suppression and Efficiency Optimization Methods for Switched Reluctance Motors

Switched reluctance motors (SRM) experience significant torque ripple during commutation, usually mitigated by using torque sharing functions (TSF). However, traditional TSF control methods often lead to high peak currents and poor torque tracking during commutation, resulting in large torque ripple and low efficiency. Choosing the right turn-on angle can reduce torque ripple and improve efficiency, with the optimal angle varying with different speeds and loads. An improved TSF method is proposed, which assigns lower torque to the conducting phase at the start of commutation, reducing the required current and improving torque tracking. This enhances motor efficiency and reduces torque ripple. Additionally, a genetic algorithm is used to find the optimal turn-on angle for various speeds and loads, aiming to minimize torque ripple. Simulation results show that the improved TSF method effectively reduces torque ripple and increases motor efficiency. Moreover, using a genetic algorithm further reduces torque ripple compared to the fixed turn-on angle method.