摘要
汽车悬架减振器对于保证车辆的乘坐舒适性和安全稳定性都具有重要作用,但目前普遍应用的被动式减振器因其力学性能不能调节,存在只能在两种性能之间折衷的先天不足,而智能半主动悬架系统方案基于"大系统多级递阶——子系统神经网络自适应"控制算法,并利用MATLAB+Simulink对新型智能半主动悬架系统进行了仿真试验,试验结果表明系统在实现了提高车辆乘坐舒适性能的同时兼顾了安全稳定性的目的。同时由于采用电流变液减振器,使系统本身具有实时采集、响应迅速、智能化、减振降噪效果好等特点。
Shock absorber of vehicle suspension plays an important role in ensuring both of comfort and security ＆ stability of the vehicle, but passive shock absorber which is currently applied widely should not adjust its mechanical properties. Therefore it has congenital deficiency. The scheme of intelligent semi-active suspension system in this paper is based on ＇large scale system hierarchical theory--sub-system self-adaptive neural network＇, and the MATLAB ＋ Simulink is used to set up the semi-active control suspension model and simulate. The simulation test results show that the system can do improve vehicle ride comfort, meanwhile taking into account the purpose of security ＆ stability.
出处
《汽车科技》
2009年第6期36-40,共5页
Auto Sci-Tech
关键词
半主动悬架
电流变液
大系统
神经网络
仿真
semi-active control suspension
ER
large scale system
neural network
simulation
