This article proposes a prescribed performance control (PPC) methodology called fragility-avoidance PPC for waverider vehicles (WVs) with sudden disturbances based on fuzzy neural approximation. We raise the fragile problem associated with the existing PPC, and to remedy this defect, we construct a flexible prescribed funnel that is able to sense the error fluctuation caused by sudden disturbances and, moreover, tackle the fragile problem by automatically adjusting prescribed boundaries. Then, a simplified fuzzy neural approximation framework is presented to reject the unknown nonaffine dynamics of WVs while avoiding the algebraic loop problem. The stability of the closed-loop system is proved via the Lyapunov method, and finally, the effectiveness and superiority of the addressed method are verified by compared simulations.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Flight Control of Waverider Vehicles With Fragility-Avoidance Prescribed Performance


    Beteiligte:
    Bu, Xiangwei (Autor:in) / Hua, Changchun (Autor:in) / Lv, Maolong (Autor:in) / Wu, Zhonghua (Autor:in)


    Erscheinungsdatum :

    01.10.2023


    Format / Umfang :

    3556498 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Fragility Analysis of Prescribed Performance Control for Waverider Vehicles

    Luo, Ruining / He, Guangjun / Bu, Xiangwei et al. | Springer Verlag | 2025


    Nonfragile Quantitative Prescribed Performance Control of Waverider Vehicles With Actuator Saturation

    Bu, Xiangwei / Jiang, Baoxu / Lei, Humin | IEEE | 2022

    Freier Zugriff


    Shapeable Hypersonic Waverider Entry Vehicles

    Maxwell, Jesse R. | AIAA | 2017


    On Waverider Performance with Hypersonic Flight Speed and High Altitudes

    Shvets, Alexander / Voronin, V / Blankson, I et al. | AIAA | 2005