Real-Time Adaptive Control of Multiple Colocated Acoustic Sensors for an Unmanned Underwater Vehicle

In this paper, a novel approach to provide full autonomy in the control and synchronization of multiple payload sonar systems is described, facilitating the close-proximity integration and concurrent operation of multiple high-frequency acoustic sensors on an unmanned underwater vehicle. Recent advances in computational technology and real-time programming techniques afford the ability to process bathymetric data in situ to react to real-time environment data. The novel approach presented interrogates real-time bathymetric data to predict the transmission-reception timing of payload sensor acoustic pulses, thus permitting the ability to synchronize the trigger of the instruments such that neighboring return signals of other sonar are not saturated by sensor crosstalk.

[1]  Elgar Desa,et al.  Potential of autonomous underwater vehicles as new generation ocean data platforms , 2006 .

[2]  A. Ishoy How to make survey instruments "AUV-friendly" , 2000, OCEANS 2000 MTS/IEEE Conference and Exhibition. Conference Proceedings (Cat. No.00CH37158).

[3]  Edin Omerdic,et al.  A Flexible Multi-Mode of Operation Survey Platform for Surface and Underwater Operations , 2008 .

[4]  Daniel Toal,et al.  Terrain-adaptive ping sequencing of UUV integrated multibeam echosounder and sidescan sonar systems , 2010 .

[5]  Stephen D. McPhail Autonomous Underwater Vehicles: Are they the Ideal Sensor Platforms for Ocean Margin Science? , 2002 .

[6]  Frank O. Nitsche,et al.  Process-related classification of acoustic data from the Hudson River Estuary , 2004 .

[7]  H. Singh,et al.  Integrating in-situ chemical sampling with AUV control systems , 2004, Oceans '04 MTS/IEEE Techno-Ocean '04 (IEEE Cat. No.04CH37600).

[8]  Roy M. Turner,et al.  The Development of Autonomous Underwater Vehicles (AUV); A Brief Summary , 2001 .

[9]  Jim Bradford,et al.  Data handling methods and target detection results for multibeam and sidescan data collected as part of the search for SwissAir Flight 111 , 1999 .

[10]  Per Espen Hagen,et al.  The HUGIN AUV "Plug and play" payload system , 2002, OCEANS '02 MTS/IEEE.

[11]  Frederic Py,et al.  Adaptive Control for Autonomous Underwater Vehicles , 2008, AAAI.

[12]  Brian Bingham,et al.  Techniques for Deep Sea Near Bottom Survey Using an Autonomous Underwater Vehicle , 2007, Int. J. Robotics Res..

[13]  R. L. Wernli AUVs-a technology whose time has come , 2002, Proceedings of the 2002 Interntional Symposium on Underwater Technology (Cat. No.02EX556).

[14]  Philippe Jeanjean,et al.  High-Resolution AUV Surveys of the Eastern Sigsbee Escarpment , 2002 .

[15]  Vincent Rigaud Innovation and operation with robotized underwater systems , 2007, J. Field Robotics.

[16]  赵建虎,et al.  Multi—beam Sonar and Side—scan Sonar Image Co—registering and Fusing , 2003 .

[17]  O. Midtgaard,et al.  Making AUVs Truly Autonomous , 2007, OCEANS 2007.

[18]  Heye Rumohr,et al.  3. Imaging Techniques , 2013 .

[19]  Xavier Lurton,et al.  An Introduction to Underwater Acoustics: Principles and Applications , 2010 .

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

[21]  J. Ferguson,et al.  Explorer-a modular AUV for commercial site survey , 2000, Proceedings of the 2000 International Symposium on Underwater Technology (Cat. No.00EX418).

[22]  H. Thomas,et al.  Mapping payload development for MBARI's Dorado-class AUVs , 2004, Oceans '04 MTS/IEEE Techno-Ocean '04 (IEEE Cat. No.04CH37600).

[23]  Peter Lonsdale,et al.  Simultaneous operation of the Sea Beam multibeam echo-sounder and the SeaMARC II bathymetric sidescan sonar system , 1990 .

[24]  G. Fader,et al.  An overview of seabed-mapping technologies in the context of marine habitat classification , 2000 .

[25]  F. Pappalardi,et al.  HMS Scott-United Kingdom ocean survey ship , 2000, OCEANS 2000 MTS/IEEE Conference and Exhibition. Conference Proceedings (Cat. No.00CH37158).

[26]  M. Pebody,et al.  Navigation and Control of an Autonomous Underwater Vehicle using a Distributed , 1998 .

[27]  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).

[28]  Robert Sutton,et al.  Adaptive tuning of a Kalman filter via fuzzy logic for an intelligent AUV navigation system , 2004 .

[29]  W. J. Kirkwood,et al.  Development of the DORADO mapping vehicle for multibeam, subbottom, and sidescan science missions , 2007, J. Field Robotics.

[30]  Richard P. Signell,et al.  Surficial geology in central Narragansett Bay, Rhode Island: interpretations of sidescan sonar and multibeam bathymetry , 2006 .

[31]  John Shaw,et al.  Integration of multibeam bathymetry and sidescan sonar data for geological surveys , 1999, Oceans '99. MTS/IEEE. Riding the Crest into the 21st Century. Conference and Exhibition. Conference Proceedings (IEEE Cat. No.99CH37008).