Predefined time and accuracy adaptive fault-tolerant control for nonlinear systems with multiple faults

Abstract

This work mainly studies the issue of predefined time and accuracy adaptive fault-tolerant control for nonlinear systems with multiple faults. The faults in the control system include actuator faults and external system faults. The unknown function parts for nonlinear systems are approximated by fuzzy logic system (FLS). And then, according to the backstepping technique and the predefined time stability theory, an adaptive fuzzy control algorithm is presented, which can make sure that all closed-loop system signals remain bounded within a predefined time and the tracking error converges to a predefined accuracy within the predefined time. Ultimately, the effectiveness of the presented control algorithm is proved through a simulation example.