In the coupled tasks assignment, the lack of the continuity between coupled tasks leads to the inefficient assignment. This paper presents an effective consensus assignment algorithm to solve the problem. Based on the concept of task bundle, the coupled tasks assignment model is established. Bidding decision variable is utilized to solve timing constraints problem between coupled tasks, and task scoring scheme is built by combining the information entropy and the length increment of UAV flight path. Then in the asynchronous setting, the extending consensus rules of the coupled tasks assignment is designed, which emphasizes the continuity and completeness of the coupled tasks, and guarantees the algorithm converges to a conflict-free assignment among the whole UAV team. The simulation results verify the validity of the presented algorithms with significantly faster convergence and fewer passed messages among UAVs in the asynchronous setting.


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    Titel :

    Distributed Multi-UAVs Coupled Tasks Consensus Assignment


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Fu, Wenxing (Herausgeber:in) / Gu, Mancang (Herausgeber:in) / Niu, Yifeng (Herausgeber:in) / Liu, Yunfei (Autor:in) / Zhu, Jindong (Autor:in)

    Kongress:

    International Conference on Autonomous Unmanned Systems ; 2022 ; Xi'an, China September 23, 2022 - September 25, 2022



    Erscheinungsdatum :

    10.03.2023


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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