• DocumentCode
    3406041
  • Title

    Research on nonlinear model predictive control technology for ship dynamic positioning system

  • Author

    Wang, Yuanhui ; Sui, Yufeng ; Wu, Jing ; Jiao, Jianfang

  • Author_Institution
    Dept. of Autom., Harbin Eng. Univ., Harbin, China
  • fYear
    2012
  • fDate
    15-17 Aug. 2012
  • Firstpage
    348
  • Lastpage
    351
  • Abstract
    As an excellent technology, model predictive control has become a more pleasing and popular research topic. In order to solve the higher precision control problem for the nolinear, uncertained and strong-coupled ship dynamic positioning system, this paper introduces the nonlinear model predictive control (NMPC) technology into this system based on lots of foregoing work about its linear application. Firstly, a 3 degree of freedom nonlinear mathematic model of dynamic position ship is established based on ship dynamics. Secondly, the model is simplified according to the demand of design of the controller. Then, in terms of the concept of the lie notation, a nonlinear model predictive controller is designed based on NMPC theory. The controller is judged to be a Positive definite one. Finally, a simulation experiment is carried out and the simulation results show that the designed NMPC controller is effective and satisfactorily for ship dynamic positioning system.
  • Keywords
    nonlinear control systems; position control; ships; dynamic position ship; lie notation; linear application; nonlinear mathematic model; nonlinear model; precision control; predictive control; ship dynamic positioning system; Educational institutions; Marine vehicles; Mathematical model; Nonlinear dynamical systems; Prediction algorithms; Predictive control; Predictive models; Nonlinear system; constraints; dynamic positioning; nonlinear model predictive control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics (ICAL), 2012 IEEE International Conference on
  • Conference_Location
    Zhengzhou
  • ISSN
    2161-8151
  • Print_ISBN
    978-1-4673-0362-0
  • Electronic_ISBN
    2161-8151
  • Type

    conf

  • DOI
    10.1109/ICAL.2012.6308235
  • Filename
    6308235