A robust fault-tolerant control for active suspensions subject to Markov type actuator faults

Existing researches mainly focus on the single fault mode of the system, which is not consistent with the actual situation. In fact, a single system may have a variety of different faults. This paper is concerned with the fault estimation and fault tolerant control problem for the active suspension system subjected to stochastic actuator. The suspension system with actuator failures is described as a Markovian jumping system, which is more practical in control engineering. The original system is firstly augmented to a descriptor system and a novel observer is designed to estimate the system states and fault accurately. Then a state feedback-based fault tolerant controller is proposed to stabilize the vertical and pitch motion of the suspension system. Sufficient conditions for the observer and controller are derived with the linear matrix inequalities (LMI). Finally, the simulation results show that the actuator of the suspension system based on FTC can compensate the fault signals with less actuator input, and obtain better performance, which indicates the feasibility and effectiveness of the controller designed in this paper.