车辆主动悬架的LMS自适应模糊控制

LMS Adaptive Fuzzy Control for Vehicle Active Suspension System

以车辆操纵稳定性及行驶平顺性为控制目标 ,确定车辆系统的簧上质量加速度、车轮动载荷、悬架动挠度为具体评价参数。根据路面车辆系统的非线性特点 ,提出一种 L MS自适应模糊控制算法 ,其模糊控制规则表可以用解析的方法进行计算。针对简化的车辆模型 ,在以路面信号作为激励源的仿真研究中 ,该算法对非线性较强的车辆悬架系统的振动控制具有较好的适应性。

The riding comfort and handling stability of a vehicle are taken as the control objectives to determine the acceleration of the sprung mass, the dynamic load between wheel and road, and the dynamic deflection between sprung mass and unsprung masses as the evaluation targets of vehicle suspension performance. An adjustable fuzzy control algorithm was advanced based on the nonlinearity of the road-vehicle system. The algorithm can be used for adjusting the rectification factor of fuzzy controller by the least means squares (LMS) method. The simulation of a vehicle performance using the two degree of freedom vehicle model excited by road signals was made. The results show that the adjustable fuzzy controller can evidently reduce the acceleration of the sprung mass.