利用ADAMS建立了随机激励四分之一汽车悬架模型,利用MATLAB设计了一种基于改进Bingham模型的汽车半主动控制策略,然后进行ADAMS-MATLAB联合仿真,深入研究了被动控制、半主动开关控制及基于改进Bingham模型的半主动控制的效果。研究发现,采用所提出的基于改进Bingham模型的半主动控制策略后,汽车悬架系统的车身加速度、悬架变形、车轮动载、车轮侧滑移分别比被动控制下降27%、17.6%,、9.7%、18.6%,而半主动开关控制只比被动控制下降19.6%、9.2%、7.4%、9.3%。这说明所提出的基于改进Bingham模型的半主动控制策略大大优于其他两种控制策略。
A 1/4 vehicle suspension model with stochastic road excitation was built by ADAMS. A semi-active vehicle control strategy on revised Bingham model was designed by MATLAB. Then effects of passive control, semi-active on-off control and semi-active control on revised Bingham model were investigated based on ADAMS-MATLAB co-simulation. It is found that compared to passive suspension, the proposed semi-active control on revised Bingham model can reduce the vehicle suspension system's body acceleration, suspension deformation, wheel force, and wheel by 27%,17.6%,9.7%,18.6%, but the semi-active on-off control can only reduce these parameters by 19.6%,9.2%, 7.4%,9.3%. This shows that the proposed semi-active control on revised Bingham model is much better than the other two control strategies.