التفاصيل البيبلوغرافية
| العنوان: |
Neural network based adaptive nonsingular practical predefined-time fault-tolerant control for hypersonic morphing aircraft |
| المؤلفون: |
XU, Shihao, WEI, Changzhu, ZHANG, Litao, MU, Rongjun |
| المصدر: |
Chinese Journal of Aeronautics; April 2024, Vol. 37 Issue: 4 p421-435, 15p |
| مستخلص: |
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. |
| قاعدة البيانات: |
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