基于子域法与遗传算法的多段调制磁极永磁同步电机优化设计*

doi:10.16731/j.cnki.1671-3133.2026.03.015

现代制造工程 ›› 2026, Vol. 546 ›› Issue (3): 137-145.doi: 10.16731/j.cnki.1671-3133.2026.03.015

• 设备设计/诊断维修/再制造 • 上一篇下一篇

基于子域法与遗传算法的多段调制磁极永磁同步电机优化设计^*

韩咏, 王琨, 王世煜, 齐一搏, 白亮

江南大学机械工程学院,无锡 214122

收稿日期:2025-07-02 出版日期:2026-03-18 发布日期:2026-04-03
通讯作者: 王琨,博士,副教授,硕士研究生导师,主要研究方向为机器人控制技术、仿生机器人和智能装备等。E-mail:jiangnan_robot@126.com
作者简介:韩咏,硕士研究生,主要研究方向为永磁同步电机设计与优化。E-mail:964719093@qq.com
基金资助:
* 江苏省科技支撑计划(工业)项目-重点项目(BE2020006-5)

Optimization design of PMSM with multi-segment modulated poles based on subdomain method and GA

HAN Yong, WANG Kun, WANG Shiyu, QI Yibo, BAI Liang

College of Mechanical Engineering,Jiangnan University,Wuxi 214122,China

Received:2025-07-02 Online:2026-03-18 Published:2026-04-03

摘要/Abstract

摘要： 为进一步提高传统表贴式永磁同步电机气隙磁场的正弦化,加速电机优化设计进程,采用子域解析模型与遗传算法对多段调制磁极永磁同步电机进行优化设计。首先,电机采用若干不等宽度永磁体阵列组成多段调制磁极的结构设计,阵列中磁块的极弧系数和间隔符合正弦分布,使产生的气隙磁场波形趋于正弦波。然后,采用子域解析模型计算气隙磁场波形,并计算电磁转矩、反电动势等电机性能指标。随后,通过有限元仿真对子域解析模型计算精度进行对比验证,结果表明,子域法所得结果精度较高,且计算迅速。最后,利用遗传算法对多段调制磁极永磁同步电机结构参数进行寻优,通过有限元仿真将优化结果与传统偏心磁极结构进行对比,结果表明优化后电机的电磁转矩波形含有较少谐波分量,表现出较低的转矩脉动和较大的转矩输出。

关键词: 永磁同步电机, 子域模型, 遗传算法, 多目标优化, 磁场性能

Abstract: To further improve the sinusoidality of the air-gap magnetic field of a conventional surface-mounted Permanent Magnet Synchronous Motor (PMSM) and accelerate the motor optimization design process,a subdomain analytical model and a Genetic Algorithm(GA) are used to optimize the design of a multi-segment modulated poles PMSM. Firstly,a structural design featuring multi-segment modulated poles formed by several arrays of permanent magnets with unequal widths is adopted for the motor,and the polar arc coefficients and intervals of the magnet in the arrays conform to the sinusoidal distribution,so that the generated air gap magnetic field waveform tends to be sinusoidal. Then,a subdomain analytical model is used to calculate the air-gap magnetic field waveform,and the motor performance indexes such as electromagnetic torque and back electromotive force are calculated. Subsequently,the accuracy of the analytical calculation is compared and verified by finite element simulation,and the results show that subdomain method is of high accuracy and high computional efficiency. Finally,GA is used to optimize the structural parameters of the multi-segment modulated pole PMSM,and the optimization results are compared with the traditional eccentric pole structure through finite element simulation,which shows that the optimized motor has less harmonic components in the electromagnetic torque waveform,exhibits lower torque ripple and larger torque output.

Key words: Permanent Magnet Synchronous Motor(PMSM), subdomain model, Genetic Algorithm(GA), multi-objective optimization, magnetic field performance

中图分类号:

TM351

韩咏, 王琨, 王世煜, 齐一搏, 白亮. 基于子域法与遗传算法的多段调制磁极永磁同步电机优化设计^*[J]. 现代制造工程, 2026, 546(3): 137-145.

HAN Yong, WANG Kun, WANG Shiyu, QI Yibo, BAI Liang. Optimization design of PMSM with multi-segment modulated poles based on subdomain method and GA[J]. Modern Manufacturing Engineering, 2026, 546(3): 137-145.

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基于子域法与遗传算法的多段调制磁极永磁同步电机优化设计^*

Optimization design of PMSM with multi-segment modulated poles based on subdomain method and GA

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