Adaptive neural command filtered fault-tolerant control for a twin roll inclined casting system

The essay studies the adaptive neural network fault tolerant control problem based on command filtering, which is aimed at twin-roll inclined casting system (TRICS). A command filter adaptive neural fault-tolerant control scheme for compensating actuator faults is come forward, and meanwhile, the compensating signal is designed to the error of the compensation filter due to the effect of virtual control. Furthermore,the application of Lyapunov stability theory have proved that all the signals in the closed loop system possessed the property of being bounded and stable. Finally, the effectiveness of the control scheme can be verified by means of simulation example.