• DocumentCode
    2372712
  • Title

    Predict pitch and heave motion of ship via Inverse Triangle Transform MGM(1,n) model

  • Author

    Shen, Jihong ; Li, Yan ; Meng, Xiangyin

  • Author_Institution
    Coll. of Sci., Harbin Eng. Univ., Harbin, China
  • fYear
    2010
  • fDate
    4-7 Aug. 2010
  • Firstpage
    1460
  • Lastpage
    1465
  • Abstract
    The prediction of the ship motion has a significant practical meaning to the safety of the ship controlling. The pitch and heave motions are the main two features in the vertical movement system of the ship. Considering the coupling relationship between the influence factors in the ship motion system including the wave, the Inverse Triangle Transform MGM(1,n) model is proposed to predict the pitch and heave motion. The Range Transform is applied to normalize the different quantities of the model inputs. The modified Inverse Triangle Transform is introduced to solve the problem that the data are periodic oscillating. After these two transforms, the data fit the grey model well. The MGM(1,n) model is used to predict. In the analysis of the predicted result, within the relative error of 20%, the predicted data can get 70 groups, which is about 4-5 seconds. The right oscillating shape of the pitch and the heave motions last more than one period. The result shows that the model can predict the ship motion in required precision, and the model is effective and practicable.
  • Keywords
    marine safety; ships; transforms; MGM(1,n) model; grey model; heave motion; inverse triangle transform; pitch motion; safety; ship; vertical movement system; Data models; Differential equations; Educational institutions; Marine vehicles; Mathematical model; Predictive models; Transforms;
  • 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.2010.5589206
  • Filename
    5589206