关键词: 无轴承永磁同步电机, 灰狼算法, 解析法, 多目标优化

Abstract: In order to reduce the suspension force ripples and improve the torque of bearingless permanent magnet synchronous motor for better performance, a motor multi-objective optimization design method based on the analytical-grey wolf algorithm was proposed. By comparing the calculation results of the analytical method and the finite element method, the accuracy of the analytical method calculation was verified. The air gap width, permanent magnet thickness, pole arc coefficient and slot width were used as optimization parameters for multi-objective optimization of the motor. Comparing the results before and after optimization, the suspension force ripples and torque of the motor were significantly improved, which verified the feasibility of the algorithm.

Key words: bearingless permanent magnet synchronous motor, grey wolf algorithm, analytical method, multi-objective optimization