The current study aims to design a remotely operated underwater vehicle (ROV) and estimate the parameters of a systematic model. The entire vehicle comprises the framework, propulsion instrument, sensor, and communication module. The systematic model is very complicated thus making it very difficult to obtain a transfer function of the entire system. Therefore, an experimental method is used to measure the acceleration of the vehicle when traversing underwater along a straight line. Moreover, the method is used to verify the transfer function of the vehicle’s model for the entire system based on auto-regressive exogeneous (ARX) and auto-regressive moving average exogeneous (ARMAX) models, and a cost function.


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    Titel :

    Design and parameter estimation of a remotely operated underwater vehicle


    Beteiligte:
    Wang, Yung-Lien (Autor:in) / Lu, Chang-Yu (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.04.2012


    Format / Umfang :

    10 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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