This paper presents a neural adaptive flight control for longitudinal dynamics of air-breathing hypersonic vehicles (AHVs) with constrained aerodynamic surfaces. Multiple actuator constraints including magnitude, rate, and first-order dynamic model in both the elevator and canard are transformed into a specific control allocation problem, which can be readily solved using the standard model predictive control (MPC) technique. Furthermore, an adaptive control scheme is developed combining with the above control allocation and the recurrent cerebellar model articulation controller (RCMAC), which well handles actuator constraints and uncertain factors including aerodynamic coefficients, external disturbances, and flexible dynamics. Numerous simulation results verify performance and robustness of the proposed neural adaptive control.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Neural longitudinal control of hypersonic vehicles with constrained aerodynamic surfaces


    Beteiligte:
    Wang, Guan (Autor:in) / An, Hao (Autor:in) / Guo, Ziyi (Autor:in) / Xia, Hongwei (Autor:in) / Xie, Weinan (Autor:in) / Ma, Guangcheng (Autor:in)


    Erscheinungsdatum :

    01.10.2022


    Format / Umfang :

    15 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Fault-tolerant control with mixed aerodynamic surfaces and RCS jets for hypersonic reentry vehicles

    He, Jingjing / Qi, Ruiyun / Jiang, Bin et al. | British Library Online Contents | 2017


    Longitudinal Control Strategy for Hypersonic Accelerating Vehicles

    Preller, Dawid / Banerjee, Sanchito / Smart, Michael et al. | AIAA | 2013


    Longitudinal Control Strategy for Hypersonic Accelerating Vehicles

    Preller, Dawid / Smart, Michael K. | AIAA | 2015