• DocumentCode
    655149
  • Title

    Identification of Hydrodynamic Derivatives from AUV "Pirajuba" Using Extended Kalman Filter

  • Author

    Pinheiro, Andre Ricardo Mendonca ; Apolonio De Barros, Ettore

  • fYear
    2013
  • fDate
    14-15 March 2013
  • Firstpage
    11
  • Lastpage
    16
  • Abstract
    The paper shows a practical application of the use of Extended Kalman Filter (EKF) in determining the hydrodynamic derivatives of an Autonomous Underwater Vehicle for a (AUV). The work is worth the experimental results of the underwater vehicle "Pirajuba" developed by LVNT (Not Manned Vehicle Laboratory) of Polytechnic School from University of São Paulo (USP). Discuss in practical terms the convergence criteria of the Kalman filter, and process validation of the mathematical model to calculate the hydrodynamic derivatives.
  • Keywords
    Kalman filters; autonomous underwater vehicles; hydrodynamics; AUV Pirajuba; EKF; autonomous underwater vehicle; extended Kalman filter; hydrodynamic derivative; Abstracts; Automation; Educational institutions; Hydrodynamics; Kalman filters; Mathematical model; Underwater vehicles; Hydrodynamic Derivativess; System Identification; UV;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing and Automation for Offshore Shipbuilding (NAVCOMP), 2013 Symposium on
  • Conference_Location
    Rio Grande
  • Type

    conf

  • DOI
    10.1109/NAVCOMP.2013.9
  • Filename
    6686107