This study investigated an adaptive distributed prescribed-time fuzzy formation control for quadrotor multi-autonomous aerial vehicles (AAVs). The trajectories of two attitude subsystems were represented through intermediate control variables by considering the underactuated characteristics of AAVs. Furthermore, by utilizing fuzzy logic systems to approximate nonlinear functions and employing the auxiliary function method, this study proposes a distributed adaptive prescribed-time fuzzy formation control scheme. This approach enables real-time updates of the position and speed information for both the leader and follower AAVs. The proposed adaptive prescribed-time fuzzy controller ensures that multi-AAVs reach their formation positions within a prescribed time and that attitude angles can track the reference signals. Finally, the effectiveness of the proposed scheme was verified through a simulation example.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Adaptive Distributed Fuzzy Control for Prescribed-Time Formation of Multiple Autonomous Aerial Vehicles


    Beteiligte:
    Jin, Dongyang (Autor:in) / Ahn, Choon Ki (Autor:in) / Xiang, Zhengrong (Autor:in)


    Erscheinungsdatum :

    01.04.2025


    Format / Umfang :

    1989100 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Adaptive distributed formation control of multiple autonomous underwater vehicles

    Emrani, S. / Dirafzoon, A. / Talebi, H.A. | Tema Archiv | 2011


    Distributed Hardware-In-Loop Simulations for multiple Autonomous Aerial Vehicles

    Hangal, Swaroop A. / Tak, Bharat / Arya, Hemendra | AIAA | 2015


    Distributed Formation Control for Multiple Unmanned Aerial Vehicles Under Dynamic Threat

    Zhao, Jiang / Xin, Li / Wang, Yingxun et al. | TIBKAT | 2022


    Distributed Formation Control for Multiple Unmanned Aerial Vehicles Under Dynamic Threat

    Zhao, Jiang / Xin, Li / Wang, Yingxun et al. | British Library Conference Proceedings | 2022


    Distributed Formation Control for Multiple Unmanned Aerial Vehicles Under Dynamic Threat

    Zhao, Jiang / Xin, Li / Wang, Yingxun et al. | Springer Verlag | 2021