基于遗传算法和TOPSIS法的混合励磁电机齿槽转矩优化  

Optimization of Cogging Torque of Hybrid Excitation Motors Based on Genetic Algorithm and TOPSIS Method

作　　者：庞亮 杨清亮 赵朝会[1] 申合彪 张闻东 秦海鸿[3] PANG Liang;YANG Qingliang;ZHAO Chaohui;SHEN Hebiao;ZHANG Wendong;QIN Haihong(School of Electrical Engineering,Shanghai Dian Ji University,Shanghai 201306,China;Logistics Engineering College,Shanghai Maritime University,Shanghai 201306,China;College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)

机构地区：[1]上海电机学院电气学院,上海201306 [2]上海海事大学物流工程学院,上海201306 [3]南京航空航天大学自动化学院,南京210016

出　　处：《噪声与振动控制》2023年第4期42-48,193,共8页Noise and Vibration Control

基　　金：国家自然科学基金资助项目(51677089)。

摘　　要：针对切向聚磁型并联结构混合励磁电机(TMPS-HESM)随着励磁电流增加导致齿槽转矩剧增容易引发电机振动噪声的问题,根据齿槽转矩的产生原理,探讨改变转子极靴宽度、磁极偏心距和气隙长度削弱电机齿槽转矩的可行性。借助Maxwell and Workbench and Optislong联合仿真软件建立8极48槽TMPS-HESM模型,运用遗传算法进行全局多目标优化,得到pareto最优解集后使用优劣解距离法(TOPSIS)客观选取最优解。最后对比分析优化前后电机的各项其他性能,结果表明:采用遗传算法和TOPSIS法对电机参数进行优化,能提升电机多目标优化效率,不仅可解决混合励磁电机励磁电流增加导致齿槽转矩剧增的问题,还能有效削弱电机转矩脉动,提升电机平均转矩,在减少电机的振动噪声和提高电机输出转矩方面均取得改善。The problem that the cogging torque of tangential magnetizing parallel structure of hybrid excitation synchronous motor(TMPS-HESM)increases rapidly with the increase of the excitation current is studied.According to the principle of cogging torque generation,the feasibility of changing the rotor pole shoe width,magnetic pole eccentricity and air gap length to reduce the cogging torque is discussed.With the help of Maxwell and Workbench and Optislong cosimulation software,the model of 8-pole and 48-slot TMPS-HESM is established.The genetic algorithm is used for global multi-objective optimization.After the pareto optimal solution set is obtained,the optimal solution is selected objectively by using the superior and inferior solution distance method(TOPSIS).Finally,the other performances of the motor before and after the optimization are compared and analyzed.The results show that using genetic algorithm and TOPSIS method to optimize the motor parameters can improve the efficiency of multi-objective optimization of the motor.It not only solves the problem of the rapid increase of cogging torque caused by the increase of the excitation current of the hybrid excitation motor,but also effectively weakens the torque ripple and improve the average torque.The vibration and noise of the motor are reduced and the output of the motor is improved.

关 键 词：振动与波 混合励磁 遗传算法 TOPSIS法 齿槽转矩 振动噪声 

分 类 号：TM301.43[电气工程—电机]