基于多目标粒子群算法的电磁主动悬架作动器优化

doi:10.3901/JME.2019.19.154

机械工程学报 ›› 2019, Vol. 55 ›› Issue (19): 154-166.doi: 10.3901/JME.2019.19.154

• 数字化设计与制造 • 上一篇

基于多目标粒子群算法的电磁主动悬架作动器优化

杨超¹, 李以农^1,2, 郑玲¹, 胡一明¹

1. 重庆大学汽车工程学院重庆 400030;
2. 重庆大学机械传动国家重点实验室重庆 400030

收稿日期:2018-10-06 修回日期:2019-03-02 发布日期:2020-01-07
通讯作者: 李以农(通信作者),男,1961年出生,博士,教授,博士研究生导师。主要研究方向为车辆系统动力学与控制、振动噪声控制。E-mail:ynli@cqu.edu.cn
作者简介:杨超,男,1986年出生,博士研究生。主要研究方向为车辆振动噪声控制。E-mail:cyang@cqu.edu.cn
基金资助:
国家重点研发计划（2017YFB0102603-4）和重庆市基础与前沿研究计划（cstc2018jcyjAX0630）资助项目。

Optimum of Electromagnetic Active Suspension Actuator Using Multi-objective Particle Swarm Optimization Algorithm

YANG Chao¹, LI Yinong^1,2, ZHENG Ling¹, HU Yiming¹

1. College of Automotive Engineering, Chongqing University, Chongqing 400030;
2. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400030

Received:2018-10-06 Revised:2019-03-02 Published:2020-01-07

摘要/Abstract

摘要： 针对电磁主动悬架直线式作动器电磁力波动对悬架系统影响问题，建立作动器磁场解析模型，以总谐波畸变量(Total harmonic distortion，THD)作为电动势(Electromotive force，EMF)中谐波含量的评价指标，对影响电磁力输出的EMF进行谐波分析，在此基础上，建立考虑悬架电磁力波动特性的悬架系统模型，分析了车辆动力学响应特性。其次，采用多目标粒子群智能优化算法，以“大EMF幅值”和“小THD”值作为目标，对作动器结构参数进行多目标优化，并利用模糊集合理论对优化后的Pareto最优解集进行选优。仿真结果表明，作动器电磁力波动下降了53.8%，有效电磁力提升了8.5%，基本消除了电磁力波动对悬架系统的影响。最后，对作动器样件进行测试，结果显示：作动器绕组EMF中含有3次、2次、4次和5次谐波分量，且THD值达到了5.6%，电磁力波动为7.8 N，试验结果验证了对电磁力波动分析及优化的有效性。

关键词: 电磁主动悬架, 直线作动器, 电磁力波动, 多目标优化, 粒子群算法

Abstract: For aiming at reducing the influence of the thrust ripple in electromagnetic active suspension, magnetic field theoretical model of the actuator is established, total harmonic distortion (THD) is taken as the evaluation to actuator EMF, harmonic components of EMF which effective to the electromagnetic force are analyzed. On this basis, a suspension dynamics model considering suspension electromagnetic force fluctuation is established, and the vehicle dynamic response characteristics are analyzed. And then, taking the maximum EMF amplitude and the minimum THD as optimization objective, the actuator structure parameters are optimized with intelligent multi-objectives particle swarm optimization. The best Pareto optimal solution is selected based on the fuzzy set theory. After optimization, the ripple of electromagnetic force is reduced by 53.8%, and the value of electromagnetic force is increased by 8.5%, the influence of the thrust ripple in electromagnetic active suspension system is basically eliminated. Finally, actuator prototype is experimented on test bench. The results show that there are a series of harmonics including the 3rd, 2rd, 4rd and 5rd in the EMF wave, the THD is 5.6%, and the ripple of electromagnetic force is 7.8 N. Optimization results are verified by experiment.

Key words: electromagnetic active suspension, linear actuator, electromagnetic force fluctuation, multi-objective optimization, particle swarm algorithm

中图分类号:

TH122
U463

杨超, 李以农, 郑玲, 胡一明. 基于多目标粒子群算法的电磁主动悬架作动器优化[J]. 机械工程学报, 2019, 55(19): 154-166.

YANG Chao, LI Yinong, ZHENG Ling, HU Yiming. Optimum of Electromagnetic Active Suspension Actuator Using Multi-objective Particle Swarm Optimization Algorithm[J]. Journal of Mechanical Engineering, 2019, 55(19): 154-166.

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基于多目标粒子群算法的电磁主动悬架作动器优化

Optimum of Electromagnetic Active Suspension Actuator Using Multi-objective Particle Swarm Optimization Algorithm

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