车辆半车半主动悬挂系统PSO-Fuzzy混合控制策略  

PSO-Fuzzy-hybrid control strategy of semi-complete vehicle semi-active suspension system

作　　者：赵羊羊 雒琦 韩威 牟晓斌 田斌 马圣杰 吴向峰 ZHAO Yangyang;LUO Qi;Han Wei;MOU Xiaobin;TIAN Bin;MA Shengjie;WU Xiangfeng(School of Mechanical and Electrical Engineering,Gansu Agricultural University,Lanzhou 730070,Gansu,China;Shaanxi Railway Institute,Weinan 714000,Shaanxi,China)

机构地区：[1]甘肃农业大学机电工程学院,甘肃省兰州市730070 [2]陕西铁路工程职业技术学院,陕西省渭南市714000

出　　处：《农业装备与车辆工程》2023年第10期32-37,共6页Agricultural Equipment & Vehicle Engineering

基　　金：甘肃农业大学盛彤笙创新基金(GSAU-STS-2018-26);甘肃农业大学国家级大学生创新创业训练计划项目(202110733013);甘肃农业大学校级新工科研究与实践项目(以新能源汽车为导向的车辆工程专业改造升级探索与实践)。

摘　　要：为了提升车辆半车半主动悬挂系统模糊控制精度,研究了一种基于PSO寻优的Fuzzy控制算法。根据车辆半车半主动悬挂系统力学原理建立动力学模型,用2个Fuzzy控制器分别控制前后转向架二系悬挂中的磁流变阻尼器,以此设计Fuzzy控制策略。利用PSO算法对Fuzzy控制器的量化因子Ka、Kv及比例因子Ki进行优化,得到PSO-Fuzzy控制策略。MATLAB/Simulink仿真结果表明,相比Fuzzy控制,基于PSO-Fuzzy优化控制下的车辆半车半主动悬挂系统性能得到显著提高,取得了更好的控制效果。In order to improve the fuzzy control accuracy of the semi-active suspension system of semi-complete vehicle,a Fuzzy control algorithm based on particle swarm optimization(PSO)was studied.According to the mechanical principle of the semi-complete vehicle semi-active suspension system,the dynamic model was established.The Fuzzy control strategy was designed by using two Fuzzy controllers to respectively control the MR dampers in the second series suspension of the front and rear bogies.The PSO-Fuzzy control strategy was obtained by using the PSO algorithm to optimize the quantization factors Ka,Kv and scale factor Ki of the fuzzy controller.The simulation results of MATLAB/Simulink showed that compared with the Fuzzy control,the performance of the semi-complete vehicle semi-active suspension system based on PSO-Fuzzy control significantly improved,and better control effect was achieved.

关 键 词：半车半主动悬挂系统 FUZZY控制 PSO优化 MATLAB/SIMULINK仿真 

分 类 号：U270.11[机械工程—车辆工程]