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Policy Iteration Based Online Adaptive Optimal Fault Compensation Control for Spacecraft

Yanbin Du, Bin Jiang*, and Yajie Ma
International Journal of Control, Automation, and Systems, vol. 19, no. 4, pp.1607-1617, 2021

Abstract : In this paper, a novel online adaptive optimal fault-tolerant control (FTC) scheme based on policy iteration (PI) algorithm is developed for the spacecraft attitude angular velocity tracking control with actuator faults. First, for the fault-free attitude dynamic model, an adaptive optimal controller is designed based on PI algorithm to solve the Hamilton-Jacobi-Bellman (HJB) equation. In this process of solving, the value function is approximated by means of a critic neural network (NN). Then, a novel adaptive compensation law is proposed for estimation of actuator faults. The closed-loop system is proved to be uniformly ultimately bounded (UUB) via the Lyapunov’s method. Finally, the effectiveness of the proposed control scheme is evaluated via simulation experiments.

Keyword : Adaptive dynamic programming, fault-tolerant control, policy iteration, spacecraft attitude dynamic System

 
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