漏磁可控型内置式永磁电动机的多目标优化设计  

Multiple Objective Optimization Design of Leakage Flux Controllable Interior Permanent Magnet Motor

作　　者：邹永玲 张晓宇[1] 周贤杰 邹鹏 ZOU Yongling;ZHANG Xiaoyu;ZHOU Xianjie;ZOU Peng(Jiangmen Polytechnic,Jiangmen 529020,China;Wuyi University,Jiangmen 529020,China)

机构地区：[1]江门职业技术学院,广东江门529020 [2]五邑大学,广东江门529020

出　　处：《机械工程师》2025年第3期105-109,共5页Mechanical Engineer

摘　　要：为了提高漏磁可控型内置式永磁电动机(Leakage Flux Controllable Interior Permanent Magnet Motor,LFC-IPMSM)的输出转矩、减小转矩脉动和齿槽转矩、增强电动机运行的稳定性,提出一种参数分层和遗传算法相结合的多目标优化方法。首先,借助ANSYS Maxwell有限元仿真软件对LFC-IPMSM转子结构进行参数化建模,进一步构建Solid Works、Maxwell和Workbench联合优化仿真平台;其次,采用综合敏感度分析和遗传算法相结合的方法进行多目标参数优化,得到Pateto解集;最后,对比优化设计前后的LFC-IPMSM性能,仿真结果表明,采用参数分层和遗传算法相结合的多目标优化方法,有效提高了LFC-IPMSM的输出转矩,削弱了LFC-IPMSM的转矩脉动和齿槽转矩,LFC-IPMSM的输出转矩增加了18%,转矩脉动减小了45%,齿槽转矩减小了79%。In order to improve the output torque,reduce torque ripple and cogging torque,and enhance the operational stability of the Leakage Flux Controllable Interior Permanent Magnet Motor(LFC-IPMSM),a multi-objective optimization method combining parameter stratification and genetic algorithm is proposed.Firstly,the rotor structure of LFC-IPMSM is parametrically modeled using ANSYS Maxwell finite element simulation software,and a joint optimization simulation platform of SolidWorks,Maxwell,and Workbench is further constructed.Secondly,a multi-objective parameter optimization is achieved by combining comprehensive sensitivity analysis with genetic algorithm to obtain the Pareto solution set.Finally,the performance of LFC-IPMSM before and after the optimization design is compared,and the simulation results show that the multi-objective optimization method combining parameter stratification and genetic algorithm effectively improves the output torque of LFC-IPMSM,weakens the torque ripple and cogging torque.The output torque of LFC-IPMSM increased by 18%,the torque ripple decreased by 45%,and the cogging torque decreased by 79%.

关 键 词：漏磁可控型内置式永磁电动机 参数分层 遗传算法 综合敏感度分析 

分 类 号：TM351[电气工程—电机]