Fault-Tolerant Attitude Tracking Control for Satellite Based on Event-Triggered Training

Abstract

In this work, the fuzzy logic system (FLS)-based fault-tolerant attitude tracking control scheme is developed for the satellite under the backstepping framework. Specifically, the FLSs are introduced to approximate the unknown actuator fault. In order to take advantage of the high intelligence component, the training of the FLSs is proceeded in the ground base station. Meanwhile, since the actuator fault possesses the sudden property, the event-triggered training mechanism is employed for the FLSs. Namely, only when the actuator fault causes the output of the controlled system to fail to meet the user-specified tracking performance, the weight of the FLSs used to approximate the unknown fault will be updated. Thus, the developed control scheme is capable of saving communication resource and reducing communication burden of the satellite. The stability of the closed-loop system is proved by using the Lyapunov function method. Finally, the simulation example shows the effectiveness of the designed control scheme.