Adaptive Fault‐Tolerant Control for Spacecraft Formation Flying With Unknown System Dynamics

ABSTRACT

A data-based fault-tolerant controller for spacecraft formation flying (SFF) under external disturbances and actuator faults is proposed in this paper. The overall controller is based on off-policy integral reinforcement learning (IRL) and an adaptive control strategy. First, a model-free optimal controller is designed for the nominal healthy SFF system to track a class of reference trajectories. Second, a data-driven fault-tolerant controller is introduced by incorporating an adaptive approach for SFF when faced with external disturbances and actuator faults. Subsequently, the superiority of the proposed method in this paper is demonstrated and compared with the existing model-based control algorithm. Finally, the simulation results of a typical SFF system verify the efficiency of the proposed overall control approach.

​International Journal of Robust and Nonlinear Control, EarlyView. Read More

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