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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    Title :

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


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Yan, Liang (editor) / Duan, Haibin (editor) / Deng, Yimin (editor) / Zhu, Shao (author) / Quan, Zou (author) / Zhekai, Pang (author)

    Conference:

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



    Publication date :

    2025-03-02


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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