Task allocation concerning Unmanned Aerial Vehicle(UAV) swarms, characterized by behavioral self-organization and autonomic decision-making, is a popular term in civil and military areas. At the present time most task allocation algorithms are quadratic or linear, in view of this situation we establishes a new decision-making model with an integer convex optimization based on the distributed task assignment problem of UAV swarms in a confrontation environment. A distributed task event-triggered decision rule is set up, and a distributed optimal task assignment algorithm based on information consistency is proposed. Simulation verification is carried out for the three strike requirements. The results show that the method can achieve global consistency convergence while reducing the communication interaction, obtain targets optimal distribution scheme and satisfy information consistency. The target allocation approach can effectively improve the combat effectiveness of the UAV swarm.


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    Titel :

    Research on Distributed Task Decision-Making Method of UAV Swarm Based on Information Consistency


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Fu, Wenxing (Herausgeber:in) / Gu, Mancang (Herausgeber:in) / Niu, Yifeng (Herausgeber:in) / Jun-liang, Hou (Autor:in) / Jin-lei, Cui (Autor:in) / Bing, Li (Autor:in) / Jun-bo, Yang (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 :

    14 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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