The movement characteristics of hose-drogue have significant influence on the success rate of Autonomous Aerial Refueling (AAR). The paper starts with the dynamic modeling of the hose-drogue, analyzing the key parameters of the hose-drogue that needed to be calibrated, and then adopts the particle swarm optimization algorithm (PSO) based on the historical aerial refueling data to obtain a more accurate hose-drogue model. A target prediction docking process is established. Simulation test results show that this method can improve the success rate of AAR.


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    Titel :

    Probe-Drogue Simulation Study of Autonomous Aerial Refueling Based on Prediction Model


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Yan, Liang (Herausgeber:in) / Duan, Haibin (Herausgeber:in) / Deng, Yimin (Herausgeber:in) / Zhu, Shao (Autor:in) / Quan, Zou (Autor:in) / Zhekai, Pang (Autor:in)

    Kongress:

    International Conference on Guidance, Navigation and Control ; 2024 ; Changsha, China August 09, 2024 - August 11, 2024



    Erscheinungsdatum :

    02.03.2025


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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