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作 者:李刚[1,2] 谢淼锦 胡国良 杨程[1,2] 阮志勇 LI Gang;XIE Miaojin;HU Guoliang;YANG Cheng;RUAN Zhiyong(Nanchang Key Laboratory of Vehicle Intelligent Equipment and Control,East China Jiaotong University,Nanchang 330013 China;Key Laboratory of Conveyance and Equipment,Ministry of Education,East China Jiaotong University,Nanchang 330013,China)
机构地区:[1]华东交通大学南昌市车辆智能装备与控制重点实验室,南昌330013 [2]华东交通大学载运工具与装备教育部重点实验室,南昌330013
出 处:《现代制造工程》2022年第11期48-54,共7页Modern Manufacturing Engineering
基 金:国家自然科学基金项目(52165004);江西省重点研发计划重点项目(20212BBE51009);江西省自然科学基金重点项目(20212ACB204002)。
摘 要:针对传统的线性二次型高斯(Linear Quadratic Gaussian,LQG)控制器存在各加权矩阵系数不易确定等问题,对于车辆磁流变半主动悬架设计了基于引力搜索算法(Gravity Search Algorithm,GSA)的线性二次型高斯(GSA-LQG)控制。以悬架各性能指标为目标函数,采用引力搜索算法对加权矩阵系数进行寻优。选用磁流变阻尼器(Magnetorheological Damper,MRD)作为悬架的半主动部件,同时建立二自由度的1/4车辆磁流变半主动悬架系统模型。以随机路面激励作为输入,在MATLAB/Simulink软件中分别对被动悬架控制、基于LQG控制的车辆磁流变半主动悬架和基于GSA-LQG控制的车辆磁流变半主动悬架进行仿真分析,结果表明,基于GSA-LQG控制的车辆磁流变半主动悬架具有更好的舒适性能和安全性能。Aiming at the problem that the weighting matrix coefficients of the traditional Linear Quadratic Gaussian(LQG)controller are difficult to determine,a Linear Quadratic Gaussian control based on the Gravity Search Algorithm(GSA-LQG)was designed for the vehicle magnetorheological semi-active suspension.Taking each performance index of the suspension as the objective function,the weighting matrix coefficient was optimized by the gravity search algorithm.The Magnetorheological Damper(MRD)was selected as the semi-active component of the suspension,and a 1/4 vehicle magnetorheological semi-active suspension system model with two degrees of freedom was established.Taking random road excitation as input,the passive suspension,LQG-controlled magnetorheological semi-active suspension and magnetorheological semi-active suspension based on GSA-LQG control were simulated and analyzed in MATLAB/Simulink software.The results show that,the magnetorheological semi-active suspension based on GSA-LQG control has better comfort performance and safety performance.
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