This study assesses the dynamic performance of the semi-active quarter car vehicle under random road conditions through a new approach. The monotube MR damper is modelled using non-parametric method based on the dynamic characteristics obtained from the experiments. This model is used as the variable damper in a semi-active suspension. In order to control the vibration caused under random road excitation, an optimal sliding mode controller (SMC) is utilised. Particle swarm optimisation (PSO) is coupled to identify the parameters of the SMC. Three optimal criteria are used for determining the best sliding mode controller parameters which are later used in estimating the ride comfort and road handling of a semi-active suspension system. A comparison between the SMC, Skyhook, Ground hook and PID controller suggests that the optimal parameters with SMC have better controllability than the PID controller. SMC has also provided better controllability than the PID controller at higher road roughness.

这项研究通过一种新方法评估了半主动四分之一汽车在随机道路条件下的动态性能。基于从实验中获得的动态特性，使用非参数方法对单管MR阻尼器进行建模。该模型在半主动悬架中用作可变阻尼器。为了控制在随机道路激励下引起的振动，采用了最佳的滑模控制器（SMC）。结合粒子群优化（PSO）来识别SMC的参数。三个最佳标准用于确定最佳滑模控制器参数，这些参数随后用于估算半主动悬架系统的乘坐舒适性和道路操纵性能。SMC，Skyhook，接地钩和PID控制器表明，SMC的最佳参数比PID控制器具有更好的可控制性。在更高的路面不平度下，SMC还提供了比PID控制器更好的可控性。