• DocumentCode
    1869477
  • Title

    Application of Moving Horizon Filter for Dynamic Positioning Ship

  • Author

    Liu, Furong ; Hui Chen

  • Author_Institution
    Key Lab. of High Speed Ship Eng., Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2010
  • fDate
    10-12 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The dynamic positioning (DP) ship maintains its position and heading by active thrusters. Some measurements of the ship motion variables can be obtained from certain reference sensor systems. However, the other measurements may be expensive or impossible to be obtained, such as ship velocity and acceleration. Fortunately, they can probably be estimated using the available measurements and the ship dynamic mathematical model. The dynamic mathematical model of a ship is based on a hydrodynamic and aerodynamic description. In order to handle estimation errors due to ship modeling uncertainty, the moving horizon filter is designed by combining the ship dynamic model, the concept of moving horizon and optimum control. A simulation of a dynamic positioning supply ship is carried out. The modeling uncertainty is considered respectively with time-invariant and time-varying mass matrix and damping matrix. By comparing moving horizon filter with Kalman filter, the effectiveness and robustness of the moving horizon filter is demonstrated for DP ship.
  • Keywords
    aerodynamics; damping; hydrodynamics; motion control; optimal control; position control; ships; vehicle dynamics; vibration control; aerodynamic description; damping matrix; dynamic positioning ship; hydrodynamic description; moving horizon control; moving horizon filter; optimum control; reference sensor systems; ship acceleration; ship motion variables; ship velocity; time-invariant mass matrix; time-varying mass matrix; Aerodynamics; Estimation error; Kalman filters; Marine vehicles; Mathematical model; Surges; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5391-7
  • Electronic_ISBN
    978-1-4244-5392-4
  • Type

    conf

  • DOI
    10.1109/CISE.2010.5676743
  • Filename
    5676743