基于遗传算法的SRM转矩分配函数优化  

Optimization of Torque Distribution Function for Switched Reluctance Motor Based on Genetic Algorithm

作　　者：王辉[1] 游紫露 李孟秋[1] 蔡辉[1] 沈仕其 WANG Hui;YOU Zilu;LI Mengqiu;CAI Hui;SHEN Shiqi(College of Electrical and Information Engineering,Hunan University,Changsha 410082,China)

机构地区：[1]湖南大学电气与信息工程学院

出　　处：《电力系统及其自动化学报》2019年第9期144-150,共7页Proceedings of the CSU-EPSA

摘　　要：开关磁阻电机采用传统型转矩分配策略时,电流峰值过高、电流可控性下降导致其出现严重的转矩脉动。针对这一问题,提出了基于遗传算法的开关磁阻电机电流变化率和铜耗的综合优化方法。在直线型转矩分配函数的基础上,根据电流输出波形与转矩分配函数的关系提出了二次型补偿曲线。选择电流变化率和铜耗作为优化目标,利用遗传算法的全局寻优能力,对新型转矩分配函数的参数进行优化,得到最优的转矩分配函数曲线,从而降低了换向时的电流峰值。仿真和实验结果表明,新型转矩分配函数能够有效地改善各相给定电流波形,降低电流控制难度,从而抑制转矩脉动。When a switched reluctance motor(SRM)adopts the traditional torque distribution strategy,the high peak current and decreasing current controllability will lead to serious torque ripples.To solve this problem,a comprehen?sive optimization method for the SRM current changing rate and copper loss is proposed based on genetic algorithm(GA).On the basis of a linear torque distribution function,a quadratic compensation curve is proposed according to the relationship between the current output waveform and torque distribution function.The current changing rate and copper loss are selected as optimization objectives,and the parameters of the novel torque distribution function are opti?mized using the global optimization capability of GA.In this way,the optimal curve of torque distribution function is ob?tained,which reduces the peak value of current during commutation.Simulation and experimental results show that the novel torque distribution function can effectively improve the given current waveform in each phase and reduce the diffi?culty in current control,thus suppressing torque ripples.

关 键 词：开关磁阻电机 铜耗 电流变化率 转矩分配 遗传算法 

分 类 号：TM315[电气工程—电机]