基于混合遗传算法的内置式永磁同步电机的优化设计  

Optimal Design of Interior Permanent Magnet Synchronous Motor Based on Hybrid Genetic Algorithm

作　　者：王艾萌[1] 温云[1] 

机构地区：[1]华北电力大学新能源国家重点试验室,河北保定071003

出　　处：《电机与控制应用》2017年第3期59-65,95,共8页Electric machines & control application

基　　金：河北省自然科学基金项目(E2012502018);教育部中央高校基本科研业务费专项资金项目(2014MS95)

摘　　要：分别应用田口法、遗传算法(GA)和混合遗传算法(HGA)对电动汽车用内置式永磁同步电机(IPMSM)转子结构相关参数进行优化设计,使电机的转矩、转矩脉动、铁耗及效率等性能最优。经过以上三种优化方法的优化,除了转矩、转矩脉动、铁耗及效率等性能均得到有效提升外,IPMSM的弱磁扩速能力也大大增强,由田口法和GA结合而成的HGA优化效果最佳。此外,GA和HGA优化方案的永磁体用量减少,可节约电机制造成本。The applied of Tagnchi method, genetic algorithm （GA） and a proposed hybrid genetic algorithm （HGA） in optimizing the rotor structure relative parameters of interior permanent magnet synchronous machine （IPMSM） for electric vehicle application to get optimal performance for torque, torque ripple, the iron loss and efficiency. Through the optimal design of above 3 methods, not only the performance of torque, torque ripple, the iron loss and efficiency obtained effectively improve, but also flux-weakening capacity of IPMSM has enhanced significantly. And the HGA, which combined Tagnchi method with GA, was optimized for best result. In addition, the mass of needed permanent magnet of GA and HGA design was decreased, which saved manufacture cost of machine.

关 键 词：内置式永磁同步电机 田口法 遗传算法 混合遗传算法 优化设计 

分 类 号：TM351[电气工程—电机]