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
Halbach永磁同步电机吸纳永磁电机和Halbach永磁阵列的优点,被广泛地应用于机器人、新能源汽车、航空航天等领域.为了减小180W机器人关节电机的气隙磁通密度波形畸变率,提高输出转矩和效率,提出一种改进的多目标优化方法.将响应曲面法和布谷鸟算法相结合,对电机的永磁体厚度、转子厚度关键结构参数进行优化,建立Maxwell有限元模型进行对比分析.研究结果表明,此优化方法能够有效改善电机的气隙磁密畸变率和转矩,提高优化效率.
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引用本文复制引用
基金项目
南京工业大学浦江学院自然科学研究类项目(2022)(njpj2022-1-20)
出版年
2024
国家科技期刊平台
NSTL
万方数据