Consider the problem of maneuver decision-making in multi-UCAV autonomous air combat, a maneuver decision-making method is proposed based on fuzzy theory. On the basis of establishing the situation relationship with the enemy, conceiving the connection between the cooperative UCAVs, the collaborative decision factor is designed and the membership function is constructed by using fuzzy theory, which ensures the robustness of the system, and a way of thinking for establishing other tactical constraint relationships between cooperative UCAVs is provided. On this basis, the objective function is improved and the cooperative decision factor is combined. In this paper, the brute force algorithm is utilized for searching the optimal strategy. Through the above improvements, the individual state of UCAV and global state of the system can reach the optimal state at the same time. Finally, numerical simulations of multi-UCAV air combat are given to demonstrate the effectiveness of the proposed approach. The results show that a multi-UCAV autonomous air combat strategy using cooperative decision factor is superior to the one that does not use cooperative decision factor.


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    Title :

    Maneuver Strategy Generation of Multi-UCAV for Air Combat Based on Fuzzy Theory


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Wu, Meiping (editor) / Niu, Yifeng (editor) / Gu, Mancang (editor) / Cheng, Jin (editor) / Zhang, Xiaoyan (author) / Huang, Hanqiao (author) / Zhang, Di (author) / Yang, Junyan (author) / Xu, Xinpeng (author)

    Conference:

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



    Publication date :

    2022-03-18


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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