Neural network based adaptive nonsingular practical predefined-time fault-tolerant control for hypersonic morphing aircraft  

作　　者：Shihao XU Changzhu WEI Litao ZHANG Rongjun MU 

机构地区：[1]School of Astronautics,Harbin Institute of Technology,Harbin 150001,China [2]Beijing Institute of Control&Electronics Technology,Beijing 100038,China

出　　处：《Chinese Journal of Aeronautics》2024年第4期421-435,共15页中国航空学报（英文版）

基　　金：supported by the National Natural Science Foundation of China (Nos. 52233014, U2241215)。

摘　　要：This paper develops a novel Neural Network(NN)-based adaptive nonsingular practical predefined-time controller for the hypersonic morphing aircraft subject to actuator faults. Firstly, a novel Lyapunov criterion of practical predefined-time stability is established. Following the proposed criterion, a tangent function based nonsingular predefined-time sliding manifold and the control strategy are developed. Secondly, the radial basis function NN with a low-complexity adaptation mechanism is incorporated into the controller to tackle the actuator faults and uncertainties. Thirdly, rigorous theoretical proof reveals that the attitude tracking errors can converge to a small region around the origin within a predefined time, while all signals in the closed-loop system remain bounded. Finally, numerical simulation results are presented to verify the effectiveness and improved performance of the proposed control scheme.

关 键 词：Hypersonic morphing aircraft(HMA) Neural network(NN) Adaptive control Practical predefined-time control Fault-tolerant control 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] V249.1[自动化与计算机技术—控制科学与工程] V448[航空宇航科学与技术—飞行器设计]