The paper concerns parameter identification of a responding ship motion model for a full-scale ship under the framework of system identification (SI) principles. Several groups of full-scale maneuvering experiments have been implemented to collect research data. A linear responding ship motion model is selected for analysis, and specifically identification of two parameters of the model becomes the research topic. Based on the error criterion in SI theory, a Particle Swarm optimization (PSO) based search process is used for parameter identification under the principle of minimizing the sum of squares due to error (SSE). The accuracy of the estimated values is checked by comparing the simulated ship motion (model output using identified parameters) and the full-scale ship maneuvering trial record (ship output by measurement). The feasibility and availability of the developed strategy are verified by using a case study. It is concluded that the proposed strategy can provide technical support for full-scale ship motion modeling.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    System Identification Based Parameter Identification of Responding Type Ship Motion Model


    Contributors:
    Tian, Yanfei (author) / Huang, Liwen (author) / Chen, Lijia (author) / Mou, Junmin (author) / He, Yixiong (author) / Zhang, Ke (author)


    Publication date :

    2019-07-01


    Size :

    421607 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Ship rolling motion parameter identification method based on vibration test

    WANG SHENLONG / XU YAJIE / XI HAIFENG et al. | European Patent Office | 2020

    Free access

    Parameter identification of ship motion mathematical model based on full-scale trial data

    Yao Meng / Xiufeng Zhang / Jinxin Zhu | DOAJ | 2022

    Free access

    Parameter identification and application of ship maneuvering model

    Wu, Hao / Zheng, Mao / Hou, Guojiao et al. | IEEE | 2023


    Parameters identification for ship motion model based on particle swarm optimization

    Chen, Yongbing / Song, Yexin / Chen, Mianyun | Tema Archive | 2010


    SHIP GANGWAY RESPONDING TO MOVEMENT OF SHIP

    European Patent Office | 2020

    Free access