Fault-Tolerant Control of Hypersonic Flight Vehicle Attitude Tracking Based on Adaptive Dynamic Programming
Hao Liu, Chuan Zhou, Jian Guo, Lu Dong, Xiaolei Cao, Zhiqiang Jia · 2024
The attitude control problem of hypersonic flight vehicles (HFV) in the presence of bias faults is addressed in this paper, and an intelligent fault-tolerant control strategy using Adaptive Dynamic Programming (ADP) is proposed. A new performance index function is adopted for the fault-tolerant controller design to deal with bias faults. The fault-tolerant control problem is transformed as an optimized control problem based on the improved performance index function. Utilizing policy iteration, a critic neural network is constructed to solve the Hamilton-Jacobi-Bellman equation and the approximate optimal controller is obtained. The uniform ultimate boundedness of the closed-loop system is proved by the Lyapunov stability theorem. Theoretical derivation and simulation verification demonstrate the effectiveness of the proposed fault-tolerant control strategy.