Considering the detection and early warning from radar system, this paper studies the “trick-evasion” strategy to plan cooperative ballistic for decoy vehicle and offensive vehicles subject to timing constraints. Main feature of the proposed method is the attraction degree of decoy vehicle to the radar system and the selection of offensive vehicles to the weak detection area of radar system. Firstly, the approximate dynamic model of radar system is established to calculate its detection range. Furthermore, constraints such as process constraint, control quantity constraint, attack time constraint and attack angle constraint are given such that the operational requirements of multi-aircraft cooperative combat can be satisfied. By comprehensively considering the possibility of offensive vehicle being detected, the attraction degree of decoy vehicle to the attention of radar system, the landing point deviation of offensive vehicle and the impact rapidity of offensive vehicle, the performance evaluation model of “trick-evasion” cooperative ballistic is established creatively. The flight control instructions of decoy vehicle and offensive vehicles were obtained by solving the cooperative ballistic planning model based on particle swarm optimization algorithm. Finally, the simulations in two typical cases are provided to verify the validity of the pro-posed method. The results indicate that offensive vehicles can reach target area subject to timing constraints in coordination with the decoy vehicle without being detected by radar system.


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    Titel :

    “Trick-Evasion” Strategy-Oriented Cooperative Ballistic Planning Method for Multi-hypersonic Vehicles


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Fu, Wenxing (Herausgeber:in) / Gu, Mancang (Herausgeber:in) / Niu, Yifeng (Herausgeber:in) / Xing, Xiaolu (Autor:in) / Chao, Lujing (Autor:in) / Wang, Zheng (Autor:in) / Chang, Yuxuan (Autor:in)

    Kongress:

    International Conference on Autonomous Unmanned Systems ; 2022 ; Xi'an, China September 23, 2022 - September 25, 2022



    Erscheinungsdatum :

    2023-03-10


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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