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A suspension system is one of the most important subsystems in the car; it acts as a bridge between the occupants of a vehicle and the road. This paper presents a simulation of two cases of control for a full model car active suspension system. The first case is a control system without network, while the second is a networked control system. In the first approach, there is a comparison between two control methods (PID and LQR) for active suspension systems. Results shown that PID is better than LQR when the goal is to control the suspension travel of the car, while controlling other parameter of the system is more available using LQR and depends on the complexity of the reference index used. The second case is a networked control for active suspension system using a proposed model of CAN network in Matlab to transfer the readings values of sensors and actuators to/from a controller; the control method inside the controller is either PID or LQR. The results show that LQR method has better performance than PID when the speed of network is low.
Youness et al. (Tue,) studied this question.