Autonomous maneuver decision-making is an essential issue for unmanned combat air vehicle (UCAV) during air combat. To compensate for the insufficiency of the current studies, a decision-making framework is developed to achieve the autonomous maneuvering of UCAV in confrontation combat. First, a situation assessment model with the consideration of the missile performance is described. Then, a competitive CMA-ES variant with anistropically eigenvalue adaptation and local search strategy (AEALSCE) is employed as the solver to optimize the UCAV control variables to achieve the optimal maneuver action. Experimental studies are carried out to compare different maneuver decision-making methods adopted by a UCAV and target under equal conditions. The simulation results show that the UCAV wins in confrontation games, which demonstrates the validity of the maneuver decision-making model and the superiority of the decision-making method proposed in this paper.


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    Title :

    A UCAV Maneuver Decision-Making Framework for One-on-One Air Combat


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Wu, Meiping (editor) / Niu, Yifeng (editor) / Gu, Mancang (editor) / Cheng, Jin (editor) / Xuan, Yongbo (author) / Zhou, Ke (author) / Wu, Bi (author) / Wang, Xiaofei (author) / Liang, Yajun (author)

    Conference:

    International Conference on Autonomous Unmanned Systems ; 2021 ; Changsha, China September 24, 2021 - September 26, 2021



    Publication date :

    2022-03-18


    Size :

    14 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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