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Acta Aeronautica et Astronautica Sinica ›› 2025, Vol. 46 ›› Issue (17): 331654.doi: 10.7527/S1000-6893.2025.31654

• Electronics and Electrical Engineering and Control • Previous Articles     Next Articles

Online identification based strong adaptive control of hypersonic morphing vehicles

Honglin LIU1, Guan WANG1, Shuaibin AN1, Shaojie MA2, Kai LIU1,3()   

  1. 1.School of Mechanics and Aerospace Engineering,Dalian University of Technology,Dalian 116024,China
    2.Research and Development Center,China Academy of Launch Vehicle Technology,Beijing 100076,China
    3.Key Laboratory of Structural Analysis,Optimization and CAE Software for Industrial Equipment,Dalian University of Technology,Dalian 116024,China
  • Received:2024-12-11 Revised:2025-04-07 Accepted:2025-05-08 Online:2025-06-03 Published:2025-05-27
  • Contact: Kai LIU E-mail:carsonliu@dlut.edu.cn
  • Supported by:
    Industrial Technology Development Program(JCKY2022110C019);Joint Fund Project of the Ministry of Education(8091B032223);Fundamental Research Funds for the Central Universities(DUT24RC(3)067)

Abstract:

This paper investigates the robust adaptive control problem for high-speed morphing aircraft under model uncertainties, external disturbances, and non-minimum phase characteristics. First, a dynamic model incorporating uncertainties is established and subsequently decomposed into velocity and attitude subsystems based on system characteristics. A modified forgetting factor-based online parameter identification method is designed to estimate aerodynamic parameters in real-time, reducing reliance on prior model knowledge while providing real-time mode evaluation information for controller design. Subsequently, a game-enhanced neural network observer is proposed to handle composite disturbances, including identification errors, morphing uncertainties, and external disturbances, ensuring finite-time convergence of disturbance estimation errors to zero. By developing a morphing-redefinition strategy to reconfigure system outputs, specifically defined reference commands are generated for morphing configurations to avoid unstable internal dynamics caused by the coupling between elevators and lift. Finally, system stability is rigorously analyzed using Lyapunov theory, with simulation results validating the effectiveness of the proposed methodology.

Key words: hypersonic morphing vehicles, non-minimum phase, strong adaptive control, online identification, disturbance rejection

CLC Number: