To better support the research of counter UAV systems on swarm UAV targets and meet the needs of dynamic deduction and detection modeling of swarm UAVs, a swarm UAV scene simulation method based on differential flatness and swarm intelligence is proposed. Based on the trajectory generation model of cluster algorithm, dynamic algorithm and spatial division technology, this method implements group strategies such as exclusion, attraction and velocity alignment and ensures that the trajectory generation meets point-to-point navigation while having advanced group behavior. Through simulation experiments, the superiority of this technology in generating complex swarm UAV scenarios can be proved, which can effectively support the dynamic deduction requirements of counter UAV systems for swarm UAV targets.


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    Titel :

    Swarm UAV scene simulation based on differential flatness and swarm intelligence


    Beteiligte:
    Wu, Jinsong (Herausgeber:in) / Ma'aram, Azanizawati (Herausgeber:in) / Zhou, Qingchen (Autor:in) / Shen, Xianzhao (Autor:in) / Xu, Mingming (Autor:in)

    Kongress:

    Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024) ; 2024 ; Guilin, China


    Erschienen in:

    Proc. SPIE ; 13251


    Erscheinungsdatum :

    28.08.2024





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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