Predefined-Time Hierarchical Coordinated Neural Control for Hypersonic Reentry Vehicle

Bin Xu, Yingxin Shou, Zhongke Shi, Tian Yan

科研成果: 期刊稿件文章同行评审

24 引用 (Scopus)

摘要

This paper investigates the predefined-time hierarchical coordinated adaptive control on the hypersonic reentry vehicle in presence of low actuator efficiency. In order to compensate for the deficiency of rudder deflection in advantage of channel coupling, the hierarchical design is proposed for coordination of the elevator deflection and aileron deflection. Under the control scheme, the equivalent control law and switching control law are constructed with the predefined-time technology. For the dynamics uncertainty approximation, the composite learning using the tracking error and the prediction error is constructed by designing the serial-parallel estimation model. The closed-loop system stability is analyzed via the Lyapunov approach and the tracking errors are guaranteed to be uniformly ultimately bounded in a predefined time. The tracking performance and the learning accuracy of the proposed algorithm are verified via simulation tests.

源语言英语
页(从-至)8456-8466
页数11
期刊IEEE Transactions on Neural Networks and Learning Systems
34
11
DOI
出版状态已出版 - 1 11月 2023

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