TY - JOUR
T1 - Routing strategies for underwater gliders
AU - Davis, Russ E.
AU - Leonard, Naomi E.
AU - Fratantoni, David M.
N1 - Funding Information:
This study was part of the Autonomous Ocean Sampling Network (AOSN) and Adaptive Sampling and Prediction (ASAP) programs supported by the Office of Naval Research under Grants N00014-03-1-0429, N00014-02-1-0826, N00014-02-1-0846, and N00014-04-1-0534. Collaboration with everyone in these programs was essential to the effort, but P. Lermusiaux and S. Majumdar were particularly generous in helping with background for this paper and J. Bellingham, Y. Chao, M. Godin, F. Lekien, D. Paley, S. Ramp, L. Rosenfeld, I. Shulman, F. Zhang, and Y. Zhang all contributed directly to the effort that was an implementation of Tom Curtin's concept of autonomous sampling.
PY - 2009/2
Y1 - 2009/2
N2 - Gliders are autonomous underwater vehicles that achieve long operating range by moving at speeds comparable to those of, or slower than, typical ocean currents. This paper addresses routing gliders to rapidly reach a specified waypoint or to maximize the ability to map a measured field, both in the presence of significant currents. For rapid transit in a frozen velocity field, direct minimization of travel time provides a trajectory "ray" equation. A simpler routing algorithm that requires less information is also discussed. Two approaches are developed to maximize the mapping ability, as measured by objective mapping error, of arrays of vehicles. In order to produce data sets that are readily interpretable, both approaches focus sampling near predetermined "ideal tracks" by measuring mapping skill only on those tracks, which are laid out with overall mapping skill in mind. One approach directly selects each vehicle's headings to maximize instantaneous mapping skill integrated over the entire array. Because mapping skill decreases when measurements are clustered, this method automatically coordinates glider arrays to maintain spacing. A simpler method that relies on manual control for array coordination employs a first-order control loop to balance staying close to the ideal track and maintaining vehicle speed to maximize mapping skill. While the various techniques discussed help in dealing with the slow speed of gliders, nothing can keep performance from being degraded when current speeds are comparable to vehicle speed. This suggests that glider utility could be greatly enhanced by the ability to operate high speeds for short periods when currents are strong.
AB - Gliders are autonomous underwater vehicles that achieve long operating range by moving at speeds comparable to those of, or slower than, typical ocean currents. This paper addresses routing gliders to rapidly reach a specified waypoint or to maximize the ability to map a measured field, both in the presence of significant currents. For rapid transit in a frozen velocity field, direct minimization of travel time provides a trajectory "ray" equation. A simpler routing algorithm that requires less information is also discussed. Two approaches are developed to maximize the mapping ability, as measured by objective mapping error, of arrays of vehicles. In order to produce data sets that are readily interpretable, both approaches focus sampling near predetermined "ideal tracks" by measuring mapping skill only on those tracks, which are laid out with overall mapping skill in mind. One approach directly selects each vehicle's headings to maximize instantaneous mapping skill integrated over the entire array. Because mapping skill decreases when measurements are clustered, this method automatically coordinates glider arrays to maintain spacing. A simpler method that relies on manual control for array coordination employs a first-order control loop to balance staying close to the ideal track and maintaining vehicle speed to maximize mapping skill. While the various techniques discussed help in dealing with the slow speed of gliders, nothing can keep performance from being degraded when current speeds are comparable to vehicle speed. This suggests that glider utility could be greatly enhanced by the ability to operate high speeds for short periods when currents are strong.
KW - Autonomous underwater vehicle
KW - Mapping
KW - Routing
KW - Sampling
KW - Underwater glider
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U2 - 10.1016/j.dsr2.2008.08.005
DO - 10.1016/j.dsr2.2008.08.005
M3 - Article
AN - SCOPUS:67349220410
SN - 0967-0645
VL - 56
SP - 173
EP - 187
JO - Deep-Sea Research Part II: Topical Studies in Oceanography
JF - Deep-Sea Research Part II: Topical Studies in Oceanography
IS - 3-5
ER -