Intelligent fault tolerant control using adaptive schemes and multiple models

Fault tolerant control for nonlinear time-varying systems is of both theoretical and practical importance. In this paper we present an intelligent fault tolerant control methodology using an on-line approximation based adaptive controller to try to achieve system stability and robustness, and a fault diagnosis unit to provide fault information and then reconfigure the control law. Simulation examples for a fault tolerant engine control problem are given to demonstrate the effectiveness of the proposed scheme.