• DocumentCode
    232475
  • Title

    The ship´s mathematic motion models of altering course to avoid collision based on the optimization of genetic algorithm

  • Author

    Fang Cheng ; Deng Hua

  • Author_Institution
    Dalian Maritime Univ., Dalian, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    6364
  • Lastpage
    6367
  • Abstract
    From the nonlinear ship maneuvering motion mathematical model and geometric plotting point of view, This paper optimizes the parameters of ship mathematic model by using genetic algorithm in the ship automatic steering nonlinear sliding mode control, establishes the ship´s mathematic motion models of altering course to avoid collision based on genetic algorithm, and be tested in the simulation platform by MATALB, the result is consistent with the practice for preventing collision at sea.
  • Keywords
    collision avoidance; genetic algorithms; marine control; nonlinear control systems; ships; variable structure systems; collision avoidance; genetic algorithm; geometric plotting point-of-view; nonlinear ship maneuvering motion; nonlinear sliding mode control; optimization; sea collision; ship mathematic motion model; Collision avoidance; Educational institutions; Equations; Genetic algorithms; Marine vehicles; Mathematical model; alter course to avoid collision; genetic algorithm; nonlinear sliding mode control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2014 33rd Chinese
  • Conference_Location
    Nanjing
  • Type

    conf

  • DOI
    10.1109/ChiCC.2014.6896036
  • Filename
    6896036