Multi-task assignment is the core of manned aerial vehicle control decision in manned aerial vehicle (MAV)/ unmanned aerial vehicle (UAV) formation collaborative engagement, and it is the key link of cooperative combat decision, which has a global impact on the effectiveness of cooperative air combat. Aiming at the multi-type task assignment in MAV/UAV formation air combat, a dynamic task adjustment strategy based on the trigger mechanism of task assignment is proposed, the objective function and constraint conditions based on MAV/UAV formation multitask assignment are designed, and the situational benefit-loss model and engagement effectiveness model are constructed. On this basis, a multitask assignment model with MAV/UAV formation is constructed, which takes the overall efficiency value as the maximum objective function and the UAV capability and task grouping as the constraint conditions. The auction algorithm (AA) is used to solve the model and its validity is verified by simulation. The results show that the proposed allocation model realizes the dynamic and efficient allocation of multiple tasks under constraints.


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    Title :

    MAV/UAV Formation Multi-Task Assignment Based on Distributed Auction Algorithm


    Contributors:
    Cao, Yuan (author) / Li, Junqing (author) / Liu, Lele (author) / Liu, Xuan (author) / Song, Jiacheng (author) / Deng, Shijie (author)


    Publication date :

    2023-10-13


    Size :

    1746700 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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