关键词: 开关磁阻电机, 转矩分配函数, 转矩脉动, 遗传算法, 两阶段转矩分配函数

Abstract: Switched reluctance motor ( SRM) feature simple structure, low cost, and high reliability. However, the electromagnetic torque ripple of SRM limits its application in medium and high-performance drive systems. To address this issue,a generalized two-stage torque sharing function( TSF) is proposed based on the conventional torque sharing function. In the commutation overlap region,an adjustable boundary angle θ_oj is introduced,and two power functions are employed to shape the rising segment of the incoming phase and the falling segment of the outgoing phase,respectively. Under continuity constraints,the turn-on angle θ_on and the power exponents h₁and h₂ are selected as optimization variables, and a genetic algorithm is adopted for offline tuning. Simulations and experiments are conducted to verify the effectiveness of the proposed
method. The results demonstrate that the proposed method can significantly reduce the peak-to-peak torque difference in the commutation region and effectively suppress the torque ripple of the SRM.

Key words: switched reluctance motor, torque sharing function, torque ripple, genetic algorithm, two-stage torque sharing function