Research on fault-tolerant control of concurrent faults in electromagnetic active suspension considering uncertainty

When the suspension device fails during use, it will affect the effect of active control, it is necessary to carry out fault-tolerant control of the suspension system. Moreover, most of the fault-tolerant control of electromagnetic active suspension systems is based on single fault or simple model, therefore this paper considers the problem of fault-tolerant control of an uncertain electromagnetic active suspension system with simultaneous actuator and sensor faults, and the fault-tolerant control of concurrent is investigated. First, the intermediate observers that can simultaneously estimate the system state, the actuator and sensor faults are designed and used to estimate the state. Second, based on the fault values obtained from the observer estimation as well as the state variables, the fault-tolerant control method for state feedback control of an uncertain active suspension system is designed using RBF neural networks. Finally, under the random road surface, comparing with the fault-tolerant state feedback fault-tolerant control method without considering system uncertainty, to verify that the fault-tolerant effect of the existence of uncertainty in the system is better than that of not considering system uncertainty, and improve the vehicle’s stability. Finally, the feasibility of the proposed fault-tolerant control method is verified by an active suspension test bed.