分布励磁正弦型电励磁双凸极电机多目标优化

蒋思远; 牛俊恒; 王继永; 艾立旺; 肖磊; 许孝卓

doi:10.15938/j.emc.2025.12.012

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分布励磁正弦型电励磁双凸极电机多目标优化

更新时间：2026-09-29

- 分布励磁正弦型电励磁双凸极电机多目标优化
- Multi-objective optimization of sinusoidal doubly salient electro-magnetic machine with distributed magnetomotive forces
- 电机与控制学报 2025年29卷第12期页码：135-146
- 作者机构：
  
  河南理工大学电气工程与自动化学院，河南焦作 454003
  河南省智能装备直驱技术与控制国际联合实验室，河南焦作 454003
- 作者简介：
  
  作者简介：蒋思远（1992—），男，博士，讲师，研究方向为特种电机的设计与控制技术；
  牛俊恒（1999—），男，硕士研究生，研究方向为特种电机优化设计；
  王继永（2001—），男，硕士研究生，研究方向为特种电机优化设计；
  艾立旺（1989—），男，博士，副教授，研究方向为新型电磁直驱装备、超导磁悬浮；
  肖磊（1984—），男，博士，讲师，研究方向为电机振动分析；
  通信作者：许孝卓
- 基金信息：
  
  国家自然科学基金(52177039;52307050);河南省科技攻关项目(252102241054);河南省自然科学基金项目(252300423398;252300421870);河南理工大学博士基金(B2024-23;B2025-35)
- DOI：10.15938/j.emc.2025.12.012
  中图分类号： TM302
- 收稿：2024-09-12，
  
  纸质出版：2025-12
- 稿件说明：
移动端阅览
蒋思远, 牛俊恒, 王继永, 等. 分布励磁正弦型电励磁双凸极电机多目标优化[J]. 电机与控制学报, 2025,29(12):135-146.

JIANG Siyuan, NIU Junheng, WANG Jiyong, et al. Multi-objective optimization of sinusoidal doubly salient electro-magnetic machine with distributed magnetomotive forces[J]. Electric Machines and Control, 2025, 29(12): 135-146.
蒋思远, 牛俊恒, 王继永, 等. 分布励磁正弦型电励磁双凸极电机多目标优化[J]. 电机与控制学报, 2025,29(12):135-146. DOI： 10.15938/j.emc.2025.12.012.

JIANG Siyuan, NIU Junheng, WANG Jiyong, et al. Multi-objective optimization of sinusoidal doubly salient electro-magnetic machine with distributed magnetomotive forces[J]. Electric Machines and Control, 2025, 29(12): 135-146. DOI： 10.15938/j.emc.2025.12.012.

摘要

正弦型电励磁双凸极电机具有结构简单、磁场调节便捷、转矩脉动小等特点，能够在极端条件下可靠运行。本文提出一种基于参数敏感度分析的多元回归方程和多目标遗传算法的电机结构参数优化方法，旨在解决正弦型电励磁双凸极电机因非线性特征导致的传统优化方法难以准确快速地建立结构参数与优化目标之间关系的问题。以一台12/10分布励磁正弦型电励磁双凸极电机为研究对象，通过“简化结构参数的敏感性分析法”探究结构参数变化对优化目标的影响，结合响应面法拟合得到电机优化变量和优化目标之间的回归模型，并通过归一化构建评价函数和遗传算法取得最优值。有限元仿真结果显示，优化后电机的反电势基波幅值提升了14.94%，定位力和反谐波畸变率分别降低了89.25%和17.5%。实验测试进一步验证了设计参数优化的有效性。

Abstract

The sinusoidal doubly salient electro-magnetic machine has the characteristics of simple structure

convenient magnetic field adjustment and small torque ripple. It can operate reliably under extreme conditions. A method for optimizing motor structure parameters was proposed based on parameter sensitivity analysis

which combines multiple regression equation and multi-objective genetic algorithm. The purpose is to solve the problem that the traditional optimization method of sinusoidal doubly salient electromagnetic motor is difficult to establish the relationship between structural parameters and optimization objectives accurately and quickly due to the nonlinear characteristics. Taking the 12/10 sinusoidal doubly salient electro-magnetic machine with distributed magnetomotive forces as the research object

influence of structural parameter changes on the optimization objectives was explored by “sensitivity analysis method of simplified structural parameters”. Combined with the response surface method

the regression model between the motor optimization variables and the optimization objectives was obtained. Then

the optimal value is obtained by the single objective genetic algorithm and the normalized evaluation function. The finite element experimental results show that the back electromotive force of the optimized motor is increasedby14.94%

andcoggingtorqueandtotalharmonicdistortionarereducedby89.25% and 17.5% . The experimental test further proves effectiveness of the design parameter optimization.

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Keywords

references

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