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基于Maxwell的机器人关节电机优化设计

张双双 葛星梅 陆欣云 任思宇

现代信息科技2024,Vol.8Issue(5):179-182,189,5.
现代信息科技2024,Vol.8Issue(5):179-182,189,5.DOI:10.19850/j.cnki.2096-4706.2024.05.039

基于Maxwell的机器人关节电机优化设计

Optimization Design of Robot Joint Motor Based on Maxwell

张双双 1葛星梅 1陆欣云 2任思宇1

作者信息

  • 1. 南京工业大学浦江学院,江苏 南京 211200
  • 2. 南京工程学院,江苏 南京 211167
  • 折叠

摘要

Abstract

The Halbach permanent magnet synchronous motor incorporates the advantages of permanent magnet motors and Halbach permanent magnet arrays,and is widely used in fields such as robot,new energy vehicles,and aerospace.In order to reduce the distortion rate of the air gap magnetic flux density waveform of the 180W robot joint motor,improve the output torque and efficiency,an improved multi-objective optimization method is proposed.By combining the response surface method and the Cuckoo Search Algorithm,the key structural parameters such as the permanent magnet thickness and rotor thickness of the motor are optimized,and a Maxwell finite element model is established for comparative analysis.The research results indicate that this optimization method can effectively improve the air gap flux density distortion rate and torque of the motor,and improve optimization efficiency.

关键词

Halbach永磁阵列/布谷鸟算法/有限元分析/多目标优化

Key words

Halbach permanent magnet array/Cuckoo Search Algorithm/finite element analysis/multi-objective optimization

分类

信息技术与安全科学

引用本文复制引用

张双双,葛星梅,陆欣云,任思宇..基于Maxwell的机器人关节电机优化设计[J].现代信息科技,2024,8(5):179-182,189,5.

基金项目

南京工业大学浦江学院2022年自然科学研究类项目(njpj2022-1-20) (njpj2022-1-20)

现代信息科技

2096-4706

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