With the increasingly complex battlefield environment and mission requirements, multi-UAV cooperative combat has become a hot research topic. The deceitful, sudden and hidden combat tasks in the complex battlefield environment put forward higher requirements for the autonomous decision-making ability and the application scope of the task assignment algorithm. For the multi-type and multi-constraint task assignment and reassignment problem, a solution idea is to integrate the knowledge and experience of human handling multi-UAV task assignment problem into the algorithm to improve the intelligence and feasibility of the solution algorithm. In this paper, based on the background of cooperative reconnaissance and attack integration of multiple UAVs in battlefield conditions and considering the temporal constraints of multiple tasks, a multi-type task assignment model is constructed for collaborative operations. On the basis of analyzing the advantages and disadvantages of existing solving algorithms, a heuristic rule-based multi-task assignment and reassignment method is proposed based on human knowledge and experience. Simulation results show that the proposed method is effective in solving multi-type, multi-demand and multi-constraint task assignment problems.


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    Titel :

    Multi-UAV Cooperative Task Assignment Algorithm Based on Heuristic Rules


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Qu, Yi (Herausgeber:in) / Gu, Mancang (Herausgeber:in) / Niu, Yifeng (Herausgeber:in) / Fu, Wenxing (Herausgeber:in) / Liu, Weiheng (Autor:in) / Cheng, Sheng (Autor:in) / Jiang, Bo (Autor:in) / Jiang, Ruyi (Autor:in)

    Kongress:

    International Conference on Autonomous Unmanned Systems ; 2023 ; Nanjing, China September 09, 2023 - September 11, 2023



    Erscheinungsdatum :

    18.04.2024


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch







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