• DocumentCode
    2070176
  • Title

    Strategy study on combined stabilization control of rudder and tank

  • Author

    Yingshuang, Guan ; Xiren, Zhao

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ., Harbin, China
  • fYear
    2011
  • fDate
    16-18 Dec. 2011
  • Firstpage
    681
  • Lastpage
    685
  • Abstract
    Based on system mathematical model of ship-passively controlled-tank, a mathematical model of combined stabilization of rudder and passively controlled anti-rolling tank is proposed in this paper according to rudder roll stabilization, identify system parameters on line and predict rolling motion by using Kalman filter method, the predicted signal is utilized to achieve the phase difference holding between the roll and liquid movement, then propose to utilize the composite rolling stabilization of rudder, and calculate the control rudder angle by using LQG method, and effective roll stabilization can be achieved under different sailing condition and sea state after simulation.
  • Keywords
    Kalman filters; linear quadratic Gaussian control; mathematical analysis; military vehicles; prediction theory; rolling; ships; stability; tracked vehicles; Kalman filter method; LQG method; antirolling tank; control rudder angle; liquid movement; mathematical model; phase difference; roll movement; rolling motion predict; rudder roll stabilization; rudder stabilization control; ship-passively controlled-tank; signal prediction; system parameters identification; tank stabilization control; Educational institutions; Equations; Force; Kalman filters; Marine vehicles; Mathematical model; Valves; Kalman filter; combined stabilization; parameter identification; passively controlled anti-tolling tank;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4577-1700-0
  • Type

    conf

  • DOI
    10.1109/TMEE.2011.6199294
  • Filename
    6199294