Underwater unmanned vehicles (UUVs) are easily disturbed by the fluid environment, and UUVs are often disconnected and lost. In order to better assist the UUV in dealing with the complex underwater environment and completing tasks, the UUV’s digital twin five-dimensional model is constructed. With the aid of computational fluid dynamics, the fluid working conditions with and without obstacles are analyzed, combined with big data and machine learning technology, a digital twin escort system model is proposed. This research provides new methods for UUV intelligent obstacle avoidance, wake tracking, maneuver early warning and flow field recognition.


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    Titel :

    Digital Twin Escort System for Underwater Unmanned Vehicle


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Wu, Meiping (Herausgeber:in) / Niu, Yifeng (Herausgeber:in) / Gu, Mancang (Herausgeber:in) / Cheng, Jin (Herausgeber:in) / Gao, Shuxian (Autor:in) / Yao, Yao (Autor:in) / Zhang, Ping (Autor:in) / Wang, Hao (Autor:in) / Chang, Peng (Autor:in)

    Kongress:

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



    Erscheinungsdatum :

    18.03.2022


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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