• DocumentCode
    3137912
  • Title

    Predictive control and stabilizing effect analysis of controlled passive tank

  • Author

    Liang, Lihua ; Zhang, Songtao ; He, Changjiu

  • Author_Institution
    Autom. of Coll., Harbin Eng. Univ., Harbin, China
  • fYear
    2012
  • fDate
    5-8 Aug. 2012
  • Firstpage
    2547
  • Lastpage
    2552
  • Abstract
    Controlled passive tank is able to achieve a more perfect stabilizing effect by extending the natural period of water tank with opening/closing the air-valves in accordance with the variation tendency of ship´s rolling. Two controlling parameters, which are most important, are the closing-time and closing time span. The determination of closing time span has a direct relation with the ship´s real-time rolling period. By adopting wavelet neural network to predict the ship´s rolling motion and real-time updating the closing time span of closing valves with the predicted values, meanwhile, real-time analysing the rolling power spectrum is applied before and after anti rolling according to the known input-output relation of anti-rolling tank model coupled with rolling. The paper shows this predictive control method which is more perfect than traditional anti rolling control effect and possess favourably practical value in engineering.
  • Keywords
    motion control; neurocontrollers; predictive control; ships; stability; tanks (containers); valves; wavelet transforms; air-valves opening-closing; antirolling control effect; antirolling tank model; closing time span; controlled passive tank; predictive control; rolling power spectrum; ship real-time rolling period; ship rolling motion; ship rolling variation tendency; stabilizing effect analysis; water tank natural period; wavelet neural network; Analytical models; Control systems; Marine vehicles; Mathematical model; Neural networks; Real time systems; Valves; Controlled Passive Tank; Ship Rolling; Wavelet Neural Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2012 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-1275-2
  • Type

    conf

  • DOI
    10.1109/ICMA.2012.6285748
  • Filename
    6285748