This paper investigates experimental evaluation via flight tests for applying adaptive neural network controller to a flying-wing type unmanned aerial vehicle experiencing partial wing-loss. For this, six-degree-of-freedom numerical model is constructed taking into account damage-induced changes to the unmanned aerial vehicle in aerodynamic coefficients, mass, center of gravity, and moments of inertia. Numerical simulations are performed to investigate the flight dynamics change and to verify the performance of the neural network based controller. During the flight test, main wing-loss is artificially generated by 22% or 33% area moment. The flight test verifies that the damaged unmanned aerial vehicle shows drastic roll behavior with the unstable longitudinal response, and the neural network based adaptive controller combined with feedback linearization successfully compensates for the wing damage.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Flight test of flying-wing type unmanned aerial vehicle with partial wing-loss


    Beteiligte:
    Kim, Kijoon (Autor:in) / Kim, Seungkeun (Autor:in) / Suk, Jinyoung (Autor:in) / Ahn, Jongmin (Autor:in) / Kim, Nakwan (Autor:in) / Kim, Byoung-Soo (Autor:in)


    Erscheinungsdatum :

    2019-04-01


    Format / Umfang :

    18 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Multi-wing flying wing type solar unmanned aerial vehicle

    LI CHUNZHOU | Europäisches Patentamt | 2023

    Freier Zugriff

    Flying wing unmanned aerial vehicle

    JIANG FEIHONG / LIU ZHENBAO / DANG QINGQING et al. | Europäisches Patentamt | 2023

    Freier Zugriff

    Double-engine flying wing unmanned aerial vehicle

    HAN TINGTING / REN JIE / SHI SONGHUA et al. | Europäisches Patentamt | 2023

    Freier Zugriff


    Canard flying wing aerodynamic layout unmanned aerial vehicle

    LI YONGLIN / YANG SHENBO / WANG YUANBO et al. | Europäisches Patentamt | 2021

    Freier Zugriff