测试科学与仪器2024,Vol.15Issue(4) :547-557.DOI:10.62756/jmsi.1674-8042.2024054

模块化双磁场调制永磁直线电机推力特性的优化设计

Optimal design of modular dual-field modulated permanent magnet linear motors with thrust characteristics

缪仲翠 张磊 李燕 张慧
测试科学与仪器2024,Vol.15Issue(4) :547-557.DOI:10.62756/jmsi.1674-8042.2024054

模块化双磁场调制永磁直线电机推力特性的优化设计

Optimal design of modular dual-field modulated permanent magnet linear motors with thrust characteristics

缪仲翠 1张磊 2李燕 2张慧2
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作者信息

  • 1. 兰州交通大学自动化与电气工程学院,甘肃兰州 730070;兰州交通大学光电技术与智能控制教育部重点实验室,甘肃兰州 730070
  • 2. 兰州交通大学自动化与电气工程学院,甘肃兰州 730070
  • 折叠

摘要

为了降低永磁直线电机的推力波动和成本,提升平均推力,本文以模块化双磁场调制永磁直线电机为研究对象对电机的结构变量进行了优化.首先,采用Taguchi法选出敏感性结构变量.然后,利用最优拉丁超立方试验设计方法对优化变量进行抽样,并构建优化目标的组合近似模型,进行精度检验.接着,采用多目标粒子群优化算法,以"平均推力最大,推力波动最小"为目标进行优化,获得平均推力和推力波动的Pareto前沿.有限元分析表明,优化后的MDFMPMLM相比原始电机,推力波动下降了29.5%,平均推力提升了 5%.这项研究为永磁直线电机的性能改善提供了有效方法.

Abstract

To reduce thrust ripple and cost and improve the average thrust of permanent magnet linear motors,a modular dual-field modulation permanent magnet linear motor was studied,and the parameters were optimized.First,sensitive parameters were selected using the Taguchi method,and then the optimal variables were sampled using the optimal Latin hypercube experimental design method and an ensemble of surrogates model of optimization objectives,and its accuracy was verified.Next,a multi-objective particle swarm optimization algorithm was used to optimize the purpose of"maximum average thrust and minimum thrust ripple",and the Pareto front of average thrust and thrust ripple was obtained.Finite element analysis showed that the optimized modular dual flux-modulation permanent magnet linear motor(MDFMPMLM)had a 29.5%reduction in thrust ripple and a 5%increase in average thrust compared to the original motor.This study provided an effective method for improving the performance of permanent magnet linear motors.

关键词

磁场调制/推力特性/有限元分析/组合近似模型/永磁直线电机/多目标优化

Key words

field modulation/thrust characteristics/finite element analysis/ensemble of surrogates model/permanent magnet linear motor/multi-objective optimization

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出版年

2024
测试科学与仪器
中北大学

测试科学与仪器

影响因子:0.111
ISSN:1674-8042
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