基于粒子群优化算法的TMPS-HESM联合仿真设计方法  

TMPS-HESM Co-Simulation Design Method Based on Particle Swarm Optimization Algorithm

作　　者：庞亮 张闻东 胡豁达 赵朝会[1] PANG Liang;ZHANG Wendong;HU Huoda;ZHAO Chaohui(School of Electrical Engineering,Shanghai Dianji University,Shanghai 201306,China)

机构地区：[1]上海电机学院电气学院,上海201306

出　　处：《电机与控制应用》2023年第1期62-70,共9页Electric machines & control application

摘　　要：混合励磁同步电机(HESM)是当前研究热点,其设计方法值得讨论。借助ANSYS RMxprt软件和传统磁路法设计电机定子,再通过ANSYS Maxwell软件设计HESM转子并进行电机参数化建模,进一步建立8极48槽TMPS-HESM的Maxwell&Workbench&Optislong联合仿真模型,最后运用粒子群优化(PSO)算法对电机进行全局多目标优化得到Pareto解集,并使用优劣解距离法(TOPSIS)从解集中客观选取最优设计方案。系统地提出了一种基于PSO的切向聚磁型并联结构混合励磁同步电机(TMPS-HESM)联合仿真设计方法。通过相关有限元仿真试验,验证了电机性能符合设计要求。Hybrid excited synchronous machine(HESM) is a research hotspot, and its design method is worth to discuss. The motor stator is designed by ANSYS RMxprt software and the traditional magnetic circuit method, and ANSYS Maxwell software is used to design the mixed excitation motor rotor and the motor parametric modeling is conducted. Furthermore, the Maxwell & Workbench & OptiSLang co-simulation model of 8-pole 48-slot TMPS-HESM is established. Finally, the Pareto solution set is obtained by global multi-objective optimization of the motor using particle swarm optimization(PSO) algorithm. The technique for order preference by similarity to an ideal solution(TOPSIS) method is used to objectively select the optimal design scheme from the solution set. A co-simulation design method of tangential magnetizing parallel structure hybrid excitation synchronous motor(TMPS-HESM) based on PSO algorithm is systematically proposed, and the performance of the motor is verified to meet the design requirements by the relevant finite element simulation tests.

关 键 词：混合励磁同步电机 粒子群优化 最优TOPSIS法 有限元仿真 

分 类 号：TM341[电气工程—电机]