Active fault-tolerant control design for T-S fuzzy systems with application to a near space vehicle

Based on adaptive and ℋ
∞
control techniques, this paper deals with the problem of active fault-tolerant control for a class of T-S fuzzy systems with actuator faults. The presented approach is dependent on a fuzzy iterative learning observer (ILO), which produces a control input adjustment term in order to compensate for the effect of actuator faults. Based on Lyapunov theorem, a sufficient condition for the stability of error dynamic systems is derived. The active fault-tolerant control strategy proposed in the paper is finally demonstrated in simulation on the near space vehicle (NSV) reentry attitude dynamics to illustrate its effectiveness.