• DocumentCode
    2385465
  • Title

    Optimal thrust allocation based GA for dynamic positioning ship

  • Author

    Zhao Da-wei ; Ding Fu-guang ; Tan Jin-feng ; Liu Yue-qiang ; Bian Xin-qian

  • Author_Institution
    Dept of Autom., Harbin Eng. Univ., Harbin, China
  • fYear
    2010
  • fDate
    4-7 Aug. 2010
  • Firstpage
    1254
  • Lastpage
    1258
  • Abstract
    Thrust allocation is an important part of the dynamic positioning system, which determining the thrust and the direction of each of the thruster devices from the control law. This paper proposes a rational and effective method of solving thrust allocation to the semi-submersible rig based on the adaptive genetic algorithm. It is realizing the global parallel operations, achieving search in a large area, and convergence speed better then simple genetic algorithm. The validity and excellent performance of this algorithm was proved by the simulation results.
  • Keywords
    genetic algorithms; position control; ships; adaptive genetic algorithm; dynamic positioning ship; optimal thrust allocation; semi submersible rig; thruster devices; Azimuth; Convergence; Force; Marine vehicles; Optimization; Power demand; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2010 International Conference on
  • Conference_Location
    Xi´an
  • ISSN
    2152-7431
  • Print_ISBN
    978-1-4244-5140-1
  • Electronic_ISBN
    2152-7431
  • Type

    conf

  • DOI
    10.1109/ICMA.2010.5589933
  • Filename
    5589933