Title :
Estimation of wave glider dynamics for precise positioning
Author :
Kraus, Nicholas ; Bingham, Brian
Author_Institution :
Dept. of Mech. Eng., Univ. of Hawaii at Manoa, Honolulu, HI, USA
Abstract :
The wave glider is a new autonomous surface platform with unique capabilities for persistent observation in a variety of marine environments. The applications of this novel technology continue to expand; some of the potential oceano-graphic applications will require precise positioning and navigation beyond the platforms current capabilities. In this article we discuss the potential for precise localization of a wave glider based on a augmenting the onboard instrumentation (adding a high quality global positioning receiver and inertial measure unit) and implementing an estimation algorithm (an extended Kalman filter using a two-body dynamic model). To understand the capabilities and limitations of the wave glider´s novel propulsion mechanism, consisting of a surface float and submerged glider to harvest wave energy for forward motion, we propose a simplified dynamic model appropriate for real-time implementation. The physical parameters of this model are identified using experimental measurements collected from a wave glider operating in a coastal environment. Finally, we present the results of a proof-of-concept field experiment where the wave glider at the surface was used to precisely position a instrument moored to the seafloor to evaluate the performance of the wave glider for the type of mission that requires precise navigation.
Keywords :
Kalman filters; autonomous underwater vehicles; hydrodynamics; marine propulsion; offshore installations; vehicle dynamics; autonomous surface platform; extended Kalman filter; global positioning receiver; oceanographic applications; precise localization; precise positioning; propulsion mechanism; submerged glider; surface float; wave energy harvesting; wave glider dynamics; Estimation; Global Positioning System; Mathematical model; Sensors; Transponders; Uncertainty; Vehicle dynamics; Dynamic Modeling; Extended Kalman Filter; Wave Glider;
Conference_Titel :
OCEANS 2011
Print_ISBN :
978-1-4577-1427-6