• DocumentCode
    582180
  • Title

    A linear signal filtering smoothing algorithm for ship dynamic positioning

  • Author

    Jianbin, Xiong ; Qinruo, Wang ; Yijun, Liu ; Baoyu, Ye ; Haoyi, Wu

  • Author_Institution
    Guang Dong Univ. of Technol., Guang Zhou, China
  • fYear
    2012
  • fDate
    25-27 July 2012
  • Firstpage
    3718
  • Lastpage
    3722
  • Abstract
    The algorithm based on extended Kalman filter and in combination with linear smoothing was proposed in this paper, as there are some deviations larger abnormal values in measurement of the ship position system. And this method was used to process nonlinear continuous system. It was applied to ship dynamic positioning. First, we deep analyze nonlinear model of ship dynamic positioning, then turn it into a linear model. Second, discrete linear model of ship dynamic positioning, finally, filter using the extended Kalman filter algorithm and smooth filtered signal using smoothing linear algorithm. The experimental results show that the method was simple, reasonable, effective and easy for real-time applications.
  • Keywords
    Kalman filters; discrete systems; nonlinear filters; position control; ships; smoothing methods; discrete linear model; extended Kalman filter algorithm; linear signal filtering smoothing algorithm; nonlinear continuous system; ship dynamic positioning; ship position system measurement; Force; Heuristic algorithms; Kalman filters; Marine vehicles; Mathematical model; Wiener filters; Kalman filtering algorithm; Ship dynamic positioning; discretization; linear smoothing algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2012 31st Chinese
  • Conference_Location
    Hefei
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4673-2581-3
  • Type

    conf

  • Filename
    6390570