东莞理工学院学报2024,Vol.31Issue(5) :103-109.

基于改进分层的永磁同步电机多目标优化策略

Multi-Objective Optimization Strategy for Permanent Magnet Synchronous Motors Based on Improved Stratification

裴文俊 肖平 李智豪
东莞理工学院学报2024,Vol.31Issue(5) :103-109.

基于改进分层的永磁同步电机多目标优化策略

Multi-Objective Optimization Strategy for Permanent Magnet Synchronous Motors Based on Improved Stratification

裴文俊 1肖平 1李智豪1
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作者信息

  • 1. 安徽工程大学 机械工程学院,安徽芜湖 241000;智能汽车线控底盘系统安徽省重点实验室,安徽芜湖 241000
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摘要

齿槽转矩作为永磁同步电机的一个重要特性,对电机的输出转矩和噪声振动有较大的影响.为了降低内置式永磁同步电机齿槽转矩,提高电机整体的工作性能,提出基于改进分层优化策略和多目标麻雀算法的优化方法.对隔磁桥厚度、永磁体宽度、齿宽等优化参数做单参数灵敏度分析与组合参数灵敏度分析,以齿槽转矩幅值、相反电动势有效值、相反电动势畸变率为优化目标,进行多目标优化试验.通过分析对比传统分层优化策略和改进分层优化策略,证明改进分层优化策略优化效果更佳.

Abstract

The cogging torque,as a crucial characteristic of permanent magnet synchronous motors,significantly influences the motor's output torque and noise vibration.In order to reduce the cogging torque of an embedded permanent magnet synchronous motor and enhance the overall motor performance,an optimization method based on an improved layered optimization strategy and multi-objective sparrow algorithm is proposed.Single-parameter sensitivity analysis and combined parameter sensitivity analysis are conducted on optimization parameters such as magnet pole width,permanent magnet width,and tooth width.The optimization objec-tives include cogging torque amplitude,effective value of counter-electromotive force,and distortion rate of counter-electromotive force.Multi-objective optimization experiments are performed.By comparing the traditional layered optimization strategy with the improved one,the results demonstrate the superior optimization effectiveness of the improved layered optimization strategy.

关键词

内置式永磁同步电机/多目标麻雀搜索算法/改进分层优化策略/多目标优化

Key words

built-in permanent magnet synchronous motor/multi-objective sparrow search algorithm/improved hierarchical optimization strategy/multi-objective optimization

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基金项目

安徽省重点研究与开发计划项目(2022A05020007)

国家自然基金面上项目(52375227)

出版年

2024
东莞理工学院学报
东莞理工学院

东莞理工学院学报

影响因子:0.265
ISSN:1009-0312
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