• DocumentCode
    3061122
  • Title

    Parameter estimation of ship linear maneuvering models

  • Author

    Revestido, E. ; Velasco, F.J. ; Zamanillo, I. ; López, E. ; Moyano, E.

  • Author_Institution
    Dept. Electron. Technol. Syst. Eng. & Autom. Control, Univ. Cantabria, Santander, Spain
  • fYear
    2011
  • fDate
    6-9 June 2011
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this paper, it is applied a method for parameter estimation of ship linear maneuvering models with a standard zig-zag maneuver. The parameter estimation is made based on prediction error methods, using the Kalman filter for the states estimation. It is suggested two cases of study: one in simulation and another one with data acquired in open waters. Thus, it is posible to quantify the statistical properties of the estimator by means of Monte Carlo simulation and to validate the model with simulated and acquired data.
  • Keywords
    Kalman filters; Monte Carlo methods; navigation; parameter estimation; ships; state estimation; Kalman filter; Monte Carlo simulation; parameter estimation; prediction error methods; ship linear maneuvering models; standard zig-zag maneuver; state estimation; statistical properties; Data models; Marine vehicles; Mathematical model; Noise; Noise measurement; Parameter estimation; Propellers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS, 2011 IEEE - Spain
  • Conference_Location
    Santander
  • Print_ISBN
    978-1-4577-0086-6
  • Type

    conf

  • DOI
    10.1109/Oceans-Spain.2011.6003588
  • Filename
    6003588
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3061122