Planning and Implementing Trajectories for Autonomous Underwater Vehicles to Track Evolving Ocean Processes Based on Predictions from a Regional Ocean Model
Restricted accessResearch articleFirst published online October, 2010
Planning and Implementing Trajectories for Autonomous Underwater Vehicles to Track Evolving Ocean Processes Based on Predictions from a Regional Ocean Model
Path planning and trajectory design for autonomous underwater vehicles (AUVs) is of great importance to the oceanographic research community because automated data collection is becoming more prevalent. Intelligent planning is required to maneuver a vehicle to high-valued locations to perform data collection. In this paper, we present algorithms that determine paths for AUVs to track evolving features of interest in the ocean by considering the output of predictive ocean models. While traversing the computed path, the vehicle provides near-real-time, in situ measurements back to the model, with the intent to increase the skill of future predictions in the local region. The results presented here extend preliminary developments of the path planning portion of an end-to-end autonomous prediction and tasking system for aquatic, mobile sensor networks. This extension is the incorporation of multiple vehicles to track the centroid and the boundary of the extent of a feature of interest. Similar algorithms to those presented here are under development to consider additional locations for multiple types of features. The primary focus here is on algorithm development utilizing model predictions to assist in solving the motion planning problem of steering an AUV to high-valued locations, with respect to the data desired. We discuss the design technique to generate the paths, present simulation results and provide experimental data from field deployments for tracking dynamic features by use of an AUV in the Southern California coastal ocean.
Anderson, D. ( 2008). Harmful algae, http://www.whoi.edu/redtide/page.do?pid=9257 (accessed February 2009).
2.
Cetinic, I., Jones, B.H., Moline, M.A. and Schofield, O. ( 2010). Resolving urban plumes using autonomous gliders in the coastal ocean, Continental Shelf Research.
3.
Chao, Y., Li, Z., Farrara, J., McWilliams, J.C., Bellingham, J., Capet, X., et al. (2008). Development, implementation and evaluation of a data-assimilative ocean forecasting system off the central California coast, Deep-Sea Research II, 56: 100-126.
4.
Climate Prediction Center (2009). El Niño/Southern Oscillation (ENSO) diagnostic discussion, http://www.cpc.noaa.gov/products/analysis_monitoring/enso_advisory/ensodisc.html (accessed September 2009).
5.
Dailey, M. D., Reish, D. J. and Anderson, J. W. (eds.) (1993). Ecology of the Southern California Bight. Berkeley, CA, University of California Press.
6.
Das, J., Rajan, K., Frolov, S., Ryan, J., Py, F., Caron, D.A. and Sukhatme, G.S. ( 2010). Towards marine bloom trajectory prediction for AUV mission planning. IEEE International Conference on Robotics and Automation, http://cres.usc.edu/cgi-bin/print_pub_details.pl?pubid=637 .
7.
Davis, R.E., Ohman, M., Rudnick, D., Sherman, J. and Hodges, B. ( 2008). Glider surveillance of physics and biology in the Southern California current system. Limnology Oceanography, 53: 2151-2168.
8.
Fiorelli, E., Leonard, N., Bhatta, P., Paley, D., Bachmayer, R. and Fratantoni, D. ( 2006). Multi-AUV control and adaptive sampling in Monterey Bay , IEEE Journal of Oceanic Engineering, 31(4): 935-948.
9.
Graver, J.G. ( 2005). Underwater Gliders: Dynamics, Control and Design. PhD Thesis, Princeton University.
10.
Gray, A.M., Lee, C., D’Asaro, E.A., Perry, M.J., Fennel, K., Briggs, N., Rehm, E., Sackmann, B.S., Sieracki, M.E., Poulton, N. and Gudmundsson, K. ( 2008), The 2008 north atlantic spring bloom experiment: observations of a stationary eddy on the eastern flank of the Reykjanes Ridge. American Geophysical Union, Fall Meeting 2008, Abstract#OS31A-1252.
11.
Jet Propulsion Laboratory (2009). JPL THREDDS Data Server catalog, http://ourocean.jpl.nasa.gov:8080/thredds/catalog.html(accessed September 2009).
12.
Kennedy, V.S., Twilley, R.R., Kleypas, J.A., Cowan, J.H. Jr and Hare, S.R. ( 2002). Coastal and marine ecosystems and global climate change . Pew Center on Global Climate Change.
13.
Kudela, R.M., Ryan, J.P., Blakely, M.D., Lane, J.Q. and Peterson, T.D. ( 2008). Linking the physiology and ecology of cochlodinium to better understand harmful algal bloom events: a comparative approach, Harmful Algae,7(3): 278-292.
14.
Leonard, N. and Graver, J. ( 2001). Model-based feedback control of autonomous underwater gliders, IEEE Journal of Oceanic Engineering, 26(4): 633-645.
15.
Leonard, N.E., Paley, D., Lekien, F., Sepulchre, R., Fratantoni, D.M. and Davis, R. ( 2007). Collective motion, sensor networks and ocean sampling , Proceedings of the IEEE, 95(1), 48-74.
16.
Li, Z., Chao, Y., McWilliams, J. and Ide, K. ( 2008a). A three-dimensional variational data assimilation scheme for the regional ocean modeling system: implementation and basic experiments , Journal of Geophysical Research, 113: C05002.
17.
Li, Z., Chao, Y., McWilliams, J. and Ide, K. ( 2008b). A three-dimensional variational data assimilation scheme for the regional ocean modeling system, Journal of Atmospheric and Oceanic Technology, 25: 2074-2090.
18.
Paley, D., Zhang, F. and Leonard, N.E. ( 2007). Control of coordinated patterns for ocean sampling, International Journal of Control, 80(7): 1186-1199.
19.
Paley, D., Zhang, F. and Leonard, N. ( 2008). Cooperative control for ocean sampling: the glider coordinated control system, IEEE Transactions on Control Systems Technology , 16(4): 735-744.
20.
Pereira, A., Heidarsson, H., Caron, D., Jones, B. and Sukhatme, G. ( 2009). An implementation of a communication framework for the cost-effective operation of slocum gliders in coastal regions. Proceedings of the 7th International Conference on Field and Service Robotics, Cambridge, MA.
21.
Schnetzer, A., Miller, P.E., Schaffner, R.A., Stauffer, B., Jones, B.H., Weisberg, S.B., DiGiacomo, P.M., Berelson, W.M. and Caron, D.A. ( 2007). Blooms of pseudo-nitzschia and domoic acid in the San Pedro channels and Los Angeles harbor areas of the Southern California Bight, 2003-2004, Harmful Algae, 6(3): 372-387.
22.
Schofield, O., Kohut, J., Aragon, D., Creed, E., Graver, J., Haldman, C., Kerfoot, J., Roarty, H., Jones, C., Webb, D. and Glenn, S. ( 2007). Slocum gliders: robust and ready, Journal of Field Robotics, 24(6): 473-485.
23.
Shchepetkin, A. and McWilliams, J. ( 1998). Quasi-monotone advection schemes based on explicit locally adaptive dissipation, Monthly Weather Review, 126: 1541-1580.
24.
Shchepetkin, A.F. and McWilliams, J.C. ( 2005). The regional oceanic modeling system (ROMS): a split-explicit, free-surface, topography-following-coordinate oceanic model, Ocean Modeling, 9: 347-404.
25.
Smith, R.N., Chao, Y., Jones, B.H., Caron, D.A., Li, P.P. and Sukhatme, G.S. ( 2009a). Trajectory design for autonomous underwater vehicles based on ocean model predictions for feature tracking. Proceedings of the 7th International Conference on Field and Service Robotics , Cambridge, MA.
26.
Smith, R.N., Das, J., Heidarsson, H., Pereira, A., Caron, D.A., Jones, B.H. and Sukhatme, G.S. ( 2009b). Implementation of an embedded sensor network for the coordination of slocum gliders for coastal monitoring and observation. WUWNet ’09: Proceedings of the Fourth ACM International Workshop on Underwater Networks. Berkeley, CA, ACM Press, pp. 1-8.
27.
Smith, R.N., Das, J., Heidarsson, H., Pereira, A., Cetinić, I., Darjany, L., et al (2010a). USC CINAPS builds bridges: observing and monitoring the Southern California Bight, IEEE Robotics and Automation Magazine, 17: 20-30.
28.
Smith, R.N., Kelly, J., Chao, Y., Jones, B.H. and Sukhatme, G.S. ( 2010b). Towards improvement of autonomous glider navigation accuracy through the use of regional ocean models. Proceedings of the 29th International Conference on Offshore Mechanics and Arctic Engineering (OMAE 2010), Shanghai, China, June 2010. pp. 1-10.
29.
Smith, R.N., Pereira, A.A., Chao, Y., Li, P.P., Caron, D.A., Jones, B.H. and Sukhatme, G.S. ( 2010c). Autonomous underwater vehicle trajectory design coupled with predictive ocean models: a case study. Proceedings of the IEEE International Conference on Robotics and Automation, Anchorage, AK. May 2010. pp 4770-4777.
30.
U.S. Commission on Ocean Policy (2004). An Ocean Blue-print for the 21st Century. Washington, DC , http://oceancommission.gov/.
Warrick, J.A. and Fong, D.A. ( 2004). Dispersal scaling from the world’s rivers, Geophysical Research Letters, 31(4): L04301.
33.
Webb Research Corporation (2008). http://www.webbresearch.com/slocum.htm (accessed May 2008).
34.
Wood, E., Schnetzer, A., Benitez-Nelson, C., Anderson, C., Berelson, W., Burns, J., et al. (2009). The toxin express: rapid downward transport of the neurotoxin domoic acid in coastal waters, Nature Geoscience, 2: 273-275.
