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
fDate :
May 31 2014-June 7 2014
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;
Conference_Titel :
Robotics and Automation (ICRA), 2014 IEEE International Conference on
Conference_Location :
Hong Kong
DOI :
10.1109/ICRA.2014.6907275