• DocumentCode
    250438
  • Title

    Experimental evaluation of adaptive model-based control for underwater vehicles in the presence of unmodeled actuator dynamics

  • Author

    McFarland, Christopher J. ; Whitcomb, Louis L.

  • Author_Institution
    Dept. of Mech. Eng., Johns Hopkins Univ., Baltimore, MD, USA
  • fYear
    2014
  • fDate
    May 31 2014-June 7 2014
  • Firstpage
    2893
  • Lastpage
    2900
  • Abstract
    This paper reports a comparative experimental evaluation of proportional derivative and adaptive model-based control for underwater vehicles. To the best of the authors´ knowledge, this is the first such evaluation of model-based adaptive tracking control for underwater vehicles during simultaneous dynamic motion in all 6 degrees-of-freedom. This experimental evaluation revealed the presence of unmodeled thruster dynamics arising during reversals of the vehicle´s thrusters, and that the unmodeled thruster dynamics can destabilize parameter adaptation. The three major contributions of this paper are: an experimental analysis of how unmodeled thruster dynamics can destabilize parameter adaptation, a two-step adaptive model-based control algorithm which is robust to the thruster modeling errors present, and a comparative experimental evaluation of adaptive model-based control and proportional derivative control for fully-actuated underwater vehicles preforming simultaneous 6 degree-of-freedom trajectory tracking.
  • Keywords
    actuators; adaptive control; underwater vehicles; adaptive model-based control algorithm; model-based adaptive tracking control; parameter adaptation; proportional derivative control; simultaneous dynamic motion; thruster modeling errors; trajectory tracking; underwater vehicles; unmodeled actuator dynamics; unmodeled thruster dynamics; Adaptation models; Angular velocity; Dynamics; Tracking; Trajectory; Vehicle dynamics; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2014 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/ICRA.2014.6907275
  • Filename
    6907275