关于车辆主动悬架稳定性控制系统研究  

Research on the Stability Control System of Vehicle Active Suspension

作　　者：刘兴亚[1] 韩振南[1] 

机构地区：[1]太原理工大学机械工程学院,山西太原030024

出　　处：《计算机仿真》2016年第11期148-151,211,共5页Computer Simulation

基　　金：国家自然科学基金资助项目(50775157);山西省高等学校留学回国人员科研资助项目(2011-12);山西省基础研究项目(2012011012-1)

摘　　要：针对汽车在行驶过程中出现影响乘坐舒适性的垂直振动、俯仰和侧倾问题,建立全车七自由度模型,以提高汽车乘坐舒适性为目标对行驶过程中悬架主动力进行动态调整;采用RBF神经网络和PID相结合的控制方法分别对垂直、俯仰和侧倾进行分析。在Matlab/Simulink中搭建全车运动学模型,然后与RBF神经网络PID控制器相结合,对汽车以一定车速行驶在C级路面上进行仿真分析。结果表明:RBF神经网络PID控制器可以降低汽车行驶中的垂直加速度、俯仰角加速度和侧倾角加速度,可以显著提高汽车的乘坐舒适性。In order to improve the automobile riding comfort which is influenced by vertical vibration, pitching and rolling in the process of running, a model of full vehicle with seven degrees of freedom is established. Dynamic adjustment of the active force of the suspension is carried out to improve the riding comfort of the vehicle driving. The control method of RBF neural network combination with PID is used to analyze the vertical vibration, pitching and rolling respectively. The whole vehicle kinematics model in the Matlab/Simulink is built, then the RBF neural net- work PID controller is designed to control the vehicle driving on the C road surface with certain speed. The simulation results demonstrate that the RBF neural network PID controller can decrease the acceleration of vertical, pitching angular and rolling angular, improve the riding comfort obviously.

关 键 词：主动悬架 七自由度 神经网络 仿真 

分 类 号：U463.33[机械工程—车辆工程]