TY - GEN
T1 - Predicting Wave Glider speed from environmental measurements
AU - Smith, Ryan N.
AU - Das, Jnaneshwar
AU - Hine, Graham
AU - Anderson, Will
AU - Sukhatme, Gaurav S.
PY - 2011
Y1 - 2011
N2 - In the ocean science community, researchers have begun employing novel sensor platforms as integral pieces in oceanographic data collection, which have significantly advanced the study and prediction of complex and dynamic ocean phenomena. These innovative tools are able to provide scientists with data at unprecedented spatiotemporal resolutions. This paper focuses on the newly developed Wave Glider platform from Liquid Robotics. This vehicle produces forward motion by harvesting abundant natural energy from ocean waves, and provides a persistent ocean presence for detailed ocean observation. This study is targeted at determining a kinematic model for offline planning that provides an accurate estimation of the vehicle speed for a desired heading and set of environmental parameters. Given the significant wave height, ocean surface and subsurface currents, wind speed and direction, we present the formulation of a system identification to provide the vehicle's speed over a range of possible directions.
AB - In the ocean science community, researchers have begun employing novel sensor platforms as integral pieces in oceanographic data collection, which have significantly advanced the study and prediction of complex and dynamic ocean phenomena. These innovative tools are able to provide scientists with data at unprecedented spatiotemporal resolutions. This paper focuses on the newly developed Wave Glider platform from Liquid Robotics. This vehicle produces forward motion by harvesting abundant natural energy from ocean waves, and provides a persistent ocean presence for detailed ocean observation. This study is targeted at determining a kinematic model for offline planning that provides an accurate estimation of the vehicle speed for a desired heading and set of environmental parameters. Given the significant wave height, ocean surface and subsurface currents, wind speed and direction, we present the formulation of a system identification to provide the vehicle's speed over a range of possible directions.
UR - http://www.scopus.com/inward/record.url?scp=84862929695&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84862929695&partnerID=8YFLogxK
U2 - 10.23919/oceans.2011.6106989
DO - 10.23919/oceans.2011.6106989
M3 - Conference contribution
AN - SCOPUS:84862929695
SN - 9781457714276
T3 - OCEANS'11 - MTS/IEEE Kona, Program Book
BT - OCEANS'11 - MTS/IEEE Kona, Program Book
PB - IEEE Computer Society
T2 - MTS/IEEE Kona Conference, OCEANS'11
Y2 - 19 September 2011 through 22 September 2011
ER -