In order to solve the identification problem for ship response model parameters, the method using Kalman filter algorithm was developed. Firstly, the first order linear, first order nonlinear and second order linear models were established. Then they were dispersed, and the parameters of the models were identified using Kalman filter algorithm. At last, simulation experiment was carried out. The simulation results show that the algorithm is able to identify the ship motion parameters online accurately and efficiently, and it is feasible and effective.


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    Title :

    Parametric Identification of Ship’s Maneuvering Motion Based on Kalman Filter Algorithm


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Wang, Wego (editor) / Qin, Yugang (author) / Zhang, Liang (author)


    Publication date :

    2013-10-04


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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