Mission and motion control of AUV for terrain survey mission using discrete event system theory

This paper presents the mission and motion control method of an Autonomous Underwater Vehicle (AUV) for ocean terrain survey. The motion modes of AUV in the terrain survey mission are analyzed and defined, including: way-point tracking motion and trajectory tracking motion. For terrain survey mission, AUV needs to track a series of points and paths in horizontal plane and keeps depth in vertical plane. The motion control of AUV in the two motion modes are introduced briefly. Because of series of paths in terrain survey mission for AUV to track, so, there must be a mission control as path changed. When AUV sails from one path to another path or from one point to another point, its state is changed which may be cause poor tracking result. In order to keep optimal terrain survey task, this paper proposes a mission control method using discrete event system (DES) theory by treating the path change as an event transition. Petri net (PN) formalism is used to model and describe the whole mission, specially, when the path changes. At last, simulations in normal and degraded situations are established to verify the method mentioned above. The simulation results indicate that the method is feasibility and effectiveness for AUV.

[1]  Masahiko Nakamura,et al.  Autonomous Underwater Vehicle for surveying deep ocean , 2009, 2009 IEEE International Conference on Industrial Technology.

[2]  Stefan B. Williams,et al.  Autonomous underwater vehicle–assisted surveying of drowned reefs on the shelf edge of the Great Barrier Reef, Australia , 2010, J. Field Robotics.

[3]  Robert B. McGhee,et al.  Autonomous underwater vehicles: Hybrid control of mission and motion , 1996, Auton. Robots.

[4]  D. Cecchi,et al.  Autonomous underwater vehicles for scientific and naval operations , 2004 .

[5]  Pere Ridao,et al.  Mission control system for dam inspection with an AUV , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[6]  Jay G. Northcutt,et al.  A High-Resolution Survey AUV , 2000 .

[7]  Stefan B. Williams,et al.  Repeated AUV surveying of urchin barrens in North Eastern Tasmania , 2010, 2010 IEEE International Conference on Robotics and Automation.

[8]  J.V. Koziana,et al.  Automated data quality assurance for marine observations , 2008, OCEANS 2008.

[9]  Hanumant Singh,et al.  Robotic tools for deep water archaeology: Surveying an ancient shipwreck with an autonomous underwater vehicle , 2010, J. Field Robotics.

[10]  Zheping Yan,et al.  Research on trajectory scheduling and control method of UUV for terrain survey mission , 2012, Proceedings of the 10th World Congress on Intelligent Control and Automation.

[11]  Miles Pebody,et al.  Challenges of using an AUV to find and map hydrothermal vent sites in deep and rugged terrains , 2010, 2010 IEEE/OES Autonomous Underwater Vehicles.

[12]  Nils Størkersen,et al.  Rapid environmental assessment with autonomous underwater vehicles — Examples from HUGIN operations , 2008 .

[13]  Per Espen Hagen AUV/UUV mission planning and real time control with the HUGIN operator system , 2001, MTS/IEEE Oceans 2001. An Ocean Odyssey. Conference Proceedings (IEEE Cat. No.01CH37295).

[14]  Stefan B. Williams,et al.  Generation and visualization of large‐scale three‐dimensional reconstructions from underwater robotic surveys , 2010, J. Field Robotics.

[15]  Lionel Lapierre,et al.  Nonlinear Path Following Control of an AUV , 2007 .

[16]  Hans Thomas,et al.  High-Resolution Multibeam, Sidescan, and Subbottom Surveys Using the MBARI AUV D. Allan B , 2008 .