针对永磁辅助同步磁阻电机(PMA-SynRM)转矩脉动大的问题，提出了一种基于非支配排序遗传算法（NSGA-II）的PMA-SynRM多目标优化设计方法。首先，介绍了PMA-SynRM的基本结构与工作原理；其次，通过构建空气磁障、设计不对称辅助槽对PMA-SynRM转子结构进行改进；然后，通过灵敏度分析选出了对PMA-SynRM优化目标影响较大的参数，通过NSGA-II进行多目标寻优，从生成的Pareto前沿中选择最优拓扑结构；最后，通过有限元软件，对优化后电机与初始电机的转矩性能进行分析。仿真结果表明，基于NSGA-II优化后的PMA-SynRM其性能得到了显著提高。

To address the issue of high torque ripple in permanent magnet assisted synchronous reluctance motor (PMA-SynRM), a multi-objective optimization design method based on the non-dominated sorting genetic algorithm II (NSGA-II) was proposed. First, the basic structure and working principle of the PMA-SynRM were introduced. Next, the rotor structure of the PMA-SynRM was improved by constructing air barriers and designing asymmetric auxiliary slots. Then, sensitivity analysis was conducted to identify the parameters that had the most significant impact on the optimization objectives of the PMA-SynRM, and multi-objective optimization was performed using NSGA-II. The optimal topology was selected from the generated Pareto front. Finally, the torque performance of the optimized motor was compared with that of the initial motor using finite element analysis software. Simulation results showed that the performance of the PMA-SynRM optimized through NSGA-II was significantly improved.

安徽省教育厅基金重大项目(2022AH040110)；国家自然科学基金青年科学基金(51905003）