Model-Free Spacecraft Attitude Fault-Tolerant Control Based on Adaptive Iterative Fuzzy Kinky Inference

Aiming at the precision control problem of spacecraft attitude dynamics with actuator faults, a model-free adaptive approach is proposed to the control scheme design. Utilizing the I/O measurement of the spacecraft attitude, the controller is derived by the discrete time data driven iteration without accurate dynamic model. To deal with nonlinear uncertainties which cannot be suppressed by the nominal model-free adaptive controller, an fuzzy logic-based adaptive iterative prediction is carried out on the basis of the kinky inference learning rule when there is insufficient prior data. Stability analysis of the attitude tracking error, uncertainties prediction and other close-loop signals are discussed with the aid of contraction mapping principle. Simulation results with the comparison of adaptive extended state observer based data driven control strategy and general kinky inference learning rule demonstrate the effectiveness of the proposed scheme in this work.