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.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
