汽车主动悬架自调整模糊控制试验

以汽车操纵稳定性及行驶平顺性为控制目标,提出一种在线可调整的模糊控制算法,其模糊控制规则表可以用解析的方法进行计算。针对简化的汽车模型,为控制悬架系统的振动设计了自调整模糊控制器。与自适应控制主动悬架系统相比较,在两自由度悬架系统试验台架上进行了对比试验研究,结果表明该算法对汽车的振动控制具有明显效果,进一步说明提出的算法对汽车悬架系统的振动控制具有较好的适应性。

Self-adjustment Fuzzy Control of Vehicle Active Suspension

With riding comfort and vehicle safety as control aims,the acceleration of the sprung mass was determined as the evaluation target of vehicle suspension performance.An adjustable fuzzy control algorithm based on fuzzy control rule with the numerical calculation was advanced. For two degrees of freedom (DOF) vehicle model,the selfadjustment fuzzy controller for active vehicle suspension system was designed,and the performance of vehicle suspension system was studied under single frequence signal. According to the experiment study of vehicle model,the results show that the sprung mass acceleration mean square value for the selfadjustment fuzzy active suspension system is reduced by 41% compared to uncontrolled suspension system,and for adaptive active suspension system only reduced by 24%.The adjustable fuzzy controller can reduce the acceleration of the sprung mass.