• DocumentCode
    347975
  • Title

    Study of joint control system of main/flapped fin stabilizer

  • Author

    Shengzhong, Chen ; Sheng, Liu ; Jingchuan, Sun

  • Author_Institution
    Autom. Coll., Harbin Eng. Univ., China
  • Volume
    2
  • fYear
    1999
  • fDate
    9-12 May 1999
  • Firstpage
    896
  • Abstract
    A ship fin stabilizer´s joint control system is proposed and studied. The paper studies modeling of the system by utilizing the weighing least square algorithm upon the fin stabilizer´s hydrodynamics. Considering the stochastic measuring noise and practicability of engineering, the paper adopts a Kalman filter to estimate the state variables, on the basis of which this paper employs LQG control theory to design the system. Finally, simulation of the system is carried out, the result of which shows that the new project has more obvious efficiency than a traditional fin stabilizer regarding stabilization and saving power.
  • Keywords
    attitude control; least squares approximations; linear quadratic Gaussian control; ships; stability; Kalman filter; LQG control theory; flapped fin stabilizer; hydrodynamics; joint control system; main fin stabilizer; modeling; ship fin stabilizer; simulation; stabilization; state variable estimation; stochastic measuring noise; weighing least square algorithm; Control systems; Control theory; Design engineering; Hydrodynamics; Least squares methods; Marine vehicles; Noise measurement; State estimation; Stochastic resonance; Stochastic systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 1999 IEEE Canadian Conference on
  • Conference_Location
    Edmonton, Alberta, Canada
  • ISSN
    0840-7789
  • Print_ISBN
    0-7803-5579-2
  • Type

    conf

  • DOI
    10.1109/CCECE.1999.808122
  • Filename
    808122