开关磁阻电机转矩脉动抑制研究

Research on Torque Ripple Suppression of Switched Reluctance Motor

针对开关磁阻电机控制系统在换相阶段的转矩脉动问题,首先从本体方面入手,利用遗传算法实现对电机本体结构参数的优化设计;然后,从SRM控制策略方面入手,研究一种在线补偿转矩分配控制策略,该策略根据当前相转矩的跟踪情况,在线调整转矩分配函数的形状;最后,建立了基于Maxwell-Simplorer-Simulink的SRM联合仿真平台,该平台可以实现同时从电机本体和控制策略两方面优化控制系统性能。仿真结果表明,经过遗传算法优化后的电机转矩脉动减小了14.20%,在线补偿转矩分配控制策略将SRM控制系统的转矩脉动从19.4%减小到4.5%。

Aiming at the torque ripple problem of switched reluctance motor control system in commutation stage,Firstly,starting from the body,genetic algorithm was used to optimize the structural parameters of the motor body.Then,starting with the SRM control strategy,a torque distribution control strategy with on-line compensation is studied.The strategy can adjust the shape of the torque distribution function on-line according to the tracking situation of the current phase torque.Finally,an SRM cosimulation platform based on Maxwell-Simplorer-Simulink was established,which can optimize the performance of the control system from both motor body and control strategy.The simulation results show that the motor torque ripple optimized by genetic algorithm is reduced by 14.20%,and the torque ripple of SRM control system is reduced from 19.4%to 4.5%by the torque share control strategy of on-line compensation.