• DocumentCode
    2605893
  • Title

    The application of ARIMA in short-timely forecasting for motion of planning boat

  • Author

    Ma, Weijia ; Zou, Jin ; Pang, Yongjie ; Zhu, Kai

  • Author_Institution
    State Key Lab. Autonomous Underwater Vehicle, Harbin Eng. Univ., Harbin, China
  • fYear
    2011
  • fDate
    27-29 June 2011
  • Firstpage
    3651
  • Lastpage
    3654
  • Abstract
    Steering control system is a promising method for promoting seakeeping of planning boat. It is an important precondition to obtain high-quality input signal for it. Time series analysis method is applied to access the goal. In order to check out whether the method is suitable or not, acceleration data of boat model in seakeeping test is used. Since the data shows strong trend and periodicity, product season ARIMA model is selected for making 20 steps´ prediction. The calculation result is that the max error is not larger than 6% in former ten steps while 16.68% in latter ten steps, which indicates prediction using the model is valid in short time.
  • Keywords
    boats; steering systems; time series; planning boat; product season ARIMA model; seakeeping test; short-timely forecasting; steering control system; time series analysis method; Boats; Electronic mail; Laboratories; Planning; Time series analysis; Underwater vehicles; ARIMA; planning boat; short-time prediction; time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Service System (CSSS), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9762-1
  • Type

    conf

  • DOI
    10.1109/CSSS.2011.5973924
  • Filename
    5973924