Fuzzy Neuro-adaptive Observer-Based Fault-Tolerant Control for Flexible Spacecraft Attitude Maneuver with Pointing Constraints

This paper investigates the control problem of flexible spacecraft attitude reorientation with pointing constraints and actuator faults. Firstly, the attitude dynamics and kinematics of flexible spacecraft are introduced and then converted to an exponential coordinate-based second-order fully actuated system combining the 3-dimensional Special Orthogonal Group. Then, a fuzzy neuro-adaptive observer is designed to estimate the actuator faults, where the fuzzy neural network is introduced to approximate the lumped disturbances. Combining the estimation information, the final control law is proposed based on a barrier Lyapunov function and the sliding mode technique. Through the Lyapunov approach, the stability of the closed-loop system is analyzed. Finally, the effectiveness of the proposed control scheme is verified via a numerical simulation.