Fault accommodation for near space vehicle attitude dynamics via T-S fuzzy models

Abstract

Based on both adaptive and sliding mode control techniques, this paper pro- poses an integrated approach to fault detection, estimation and fault-tolerant control for near space vehicle (NSV) attitude dynamics during re-entry phase. Firstly, the Takagi and Sugeno (T-S) fuzzy model is employed to approximate complex nonlinear NSV dy- namics with actuator faults. Then, an adaptive fault diagnostic observer is proposed for detecting and estimating the actuator faults. Using the on-line obtained fault informa- tion, the fault tolerant control scheme based on the sliding mode technique is developed to compensate for the effects of actuator fault by stabilizing the closed-loop control sys- tem. Finally, simulation results are given to show the effectiveness and potential of the proposed techniques when different actuator fault scenarios are tested.