• DocumentCode
    2993912
  • Title

    Research on the error model of INS/DVL system for Autonomous Underwater Vehicle

  • Author

    Hou, Shuping ; Peng, Shuping ; Yan, Zheping ; Zhang, Wei

  • Author_Institution
    Coll. of Mech. & Electron., Harbin Eng. Univ., Harbin
  • fYear
    2008
  • fDate
    1-3 Sept. 2008
  • Firstpage
    201
  • Lastpage
    206
  • Abstract
    The paper studies a method in order to promote the accuracy of the control and simulation system of AUV (autonomous underwater vehicle) under the help of the error models of INS (inertia navigation system)/DVL (Doppler velocimeter log) integrated navigation system. Time series models are given in this paper, which describe the longitude error and latitude error of the INS/DVL integrated navigation system in AUV. The models have been tested and prove to be effective in error prediction and fitting. They are applied to the AUV simulation system to ameliorate the control arithmetic, which show a good effect on improving the control precision of the simulation systems of AUV.
  • Keywords
    Doppler effect; autoregressive moving average processes; inertial navigation; time series; underwater vehicles; AUV simulation system; Doppler velocimeter log; INS/DVL system; autonomous underwater vehicle; control arithmetic; error model; error prediction; inertia navigation system; integrated navigation system; latitude error; longitude error; time series models; Arithmetic; Automation; Autoregressive processes; Educational institutions; Electric shock; Error correction; Navigation; Stability; Stochastic resonance; Underwater vehicles; ARMA Model; Autonomous Underwater Vehicle; Difference; Integrated Navigation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-2502-0
  • Electronic_ISBN
    978-1-4244-2503-7
  • Type

    conf

  • DOI
    10.1109/ICAL.2008.4636146
  • Filename
    4636146