摘要
模糊控制和常规控制算法相比具有建模简单,控制精度高、非线性适应性强等优点,在车辆智能悬架系统得到了较广的应用。文章以簧载质量垂向速度、簧载质量俯仰角速度及其变化率作为模糊控制器输入,使用双模糊控制器实现车辆半主动悬架的控制,达到改善车辆垂直和俯仰振动的综合减振目的。同时,以某型车辆半车悬架模型为对象进行了仿真分析。仿真结果表明:采用所提出的模糊控制策略不仅能较好地改善车辆乘坐舒适性,还能显著降低悬架击穿可能。
Compared with other conventional control algorithms,fuzzy control has advantages of being easy to build up model,high control precision and good nonlinear adaptability,etc,so it has been widely used in vehicle intelligent suspension systems.Vertical velocity and pitch angular velocity of sprung mass,and their change rate,were chosen as the inputs of fuzzy controllers,and the control of vehicle semi-active suspension was done with the use of double fuzzy controllers, which attained the comprehensive goal of vehicle vertical and pitching vibration.Meanwhile,a vehicle semi-active suspension model was chosen as the object for this simulation analysis.The results of simulation demonstrate that the fuzzy control mentioned above can not only improve the ride comfort,but also decrease the probability of suspension broke up.
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2008年第2期420-424,共5页
Journal of System Simulation
基金
国防武器装备预研基金资助(51405040305-BQ0120)
关键词
车辆
半主动悬架
模糊控制
乘坐舒适性
仿真
Vehicle
Semi-active suspension
Fuzzy control
ride-comfort
Simulation
