基于变论域的主动悬架模糊PID控制

An active suspension adaptive fuzzy-PID control based on variable universe

针对主动悬架控制中的问题,建立了随机激励汽车整车多体动力学模型,设计一种基于变论域的主动悬架自适应模糊PID控制策略。通过ADAMS-Matlab联合仿真,比较了被动控制、普通PID控制、模糊PID控制(FPID)以及变论域模糊PID控制(VFPID)的控制效果。结果表明,采用基于变论域的模糊PID控制策略后,汽车悬架系统的车身加速度、俯仰角和悬架动挠度分别比被动控制下降65.6%、44.7%、38.0%,而模糊PID控制只比被动控制下降60.5%、36.2%、29.6%,普通PID控制只比被动控制下降53.3%、31.9%、26.8%,说明基于变论域理论的模糊PID控制策略优于其他3种控制策略。

According to the problem in the active suspension system, a multi-body dynamic model of the full vehicle with sto- chastic road excitation is built. A variable universe adaptive fuzzy-PID control strategy is designed for active suspension sys- tem. Finally the effects of passive control, PID control, fuzzy-PID control and VFPID control are investigated based on AD- AMS-Matlab co-simulation. The results show that compared with passive suspension, the VFPID control can reduce the vehicle body acceleration, pitch angle, suspension working space by 65.6%, 44.7%, 38.0%, but fuzzy PID control can only reduce these parameters by 60.5%, 36.2%, 29.6%, and PID control can only reduce these parameters by 53.3%, 31.9%, 26.8%. VFPID control is much better than the other three control strategies.