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整车主动悬架平顺性时域仿真与优化
引用本文:荣吉利,邓增琨,何丽,王玺,程修妍.整车主动悬架平顺性时域仿真与优化[J].北京理工大学学报,2022,42(1):46-52.
作者姓名:荣吉利  邓增琨  何丽  王玺  程修妍
作者单位:1. 北京理工大学 宇航学院, 北京 100081;
基金项目:北京航天发射技术研究所创新课题基金资助项目(yy_scx).
摘    要:为消除剧烈振动给车辆行驶平顺性与稳定性带来的不良影响,利用拉格朗日法建立路面-车耦合的17自由度动力学方程;通过线性滤波白噪声法,建立路面不平度激励的时域模型;根据现代控制理论建立悬架系统多输入多输出的状态方程.利用线性二次型高斯控制理论设计主动悬架控制器,通过粒子群算法(PSO)对控制器的加权参数进行优化.仿真结果表明:车辆平顺性在主动悬架系统的控制下得到了较大的提升,同时车辆的操纵稳定性、结构稳定性均有所改进,车辆的综合性能有了全面的提高. 

关 键 词:平顺性    主动悬架    线性二次型高斯控制    粒子群优化
收稿时间:2021/4/15 0:00:00

Time Domain Simulation and Optimization of Ride Comfort for Vehicle Active Suspension
RONG Jili,DENG Zengkun,HE LI,WANG Xi,CHENG Xiuyan.Time Domain Simulation and Optimization of Ride Comfort for Vehicle Active Suspension[J].Journal of Beijing Institute of Technology(Natural Science Edition),2022,42(1):46-52.
Authors:RONG Jili  DENG Zengkun  HE LI  WANG Xi  CHENG Xiuyan
Affiliation:1. School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China;2. Beijing Institute of Space Launch Technology, Beijing 100076, China
Abstract:In order to eliminate the adverse effects of severe vibration on the ride comfort and stability of the vehicle, the Lagrange''s equation was used to establish the 17 degree-of-freedom (DOF) dynamic equations of the road-vehicle coupling. A time domain model of road unevenness excitation was established by using linear filter white noise method. According to modern control theory, the state equation of suspension system with multiple inputs and multiple outputs was established. An active suspension controller was designed based on linear quadratic Gaussian (LQG) control theory, and the weighted parameters of the controller were optimized based on particle swarm optimization (PSO). The simulation results indicate that the ride comfort of the vehicle can be greatly improved under the control of the active suspension system. At the same time, the handling stability and structural stability of the vehicle can be enhanced, and the overall performance of the vehicle can be comprehensively improved.
Keywords:ride comfort  active suspension  line qudratic Ganssian(LQG) control  particle swarm optimization
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