A flexible, multi-mode of operation, high-resolution survey platform for surface and underwater operations

This paper describes the ROV LATIS, a multi-mode of operation flexible platform for high-resolution nearseabed survey from shallow inshore waters to depths beyond 1000m. The paper further describes the operation modes of the vehicle. Special system features include: deployment flexibility for both small inshore boats and larger research vessel; fault tolerant controls; onboard computer control enabling real-time disturbance reaction, autopilot functionality and autonomous underwater vehicle (AUV) experimentation; and topside augmented reality operations support, simulation for remotely operated vehicle (ROV) pilot and sonar operator/hydrographer training. Vehicle and control development using the University of Limerick (UL) virtual underwater laboratory/simulation tools and hardwarein-the-loop testing is described. The paper includes test results from the March 2009 offshore sea trials with

[1]  K. Shepherd,et al.  Observatory Cable Laying System , 2007, OCEANS 2007.

[2]  Edin Omerdic,et al.  MPPT Ring – Multi-Purpose Platform Technologies for Subsea Operations (System Integration, Planning, Simulation, Training, Fault-Tolerant Control, Enhanced Operator Interface and Offline Analysis) , 2008 .

[3]  S. Soylu,et al.  Robust Control of Underwater Vehicles with Fault-Tolerant Infinity-Norm Thruster Force Allocation , 2007, OCEANS 2007.

[4]  Brian Bingham,et al.  Integrating Precision Relatice Positioning Into JASON/MEDEA ROV Operations , 2006 .

[5]  Bong-Huan Jun,et al.  Underwater navigation based on the multiple sensor fusion for the deep-sea UUV system, HEMIRE and HENUVY , 2007, OCEANS 2007 - Europe.

[6]  R. Spinrad A vision for the ocean planet in 2020 , 2004, Oceans '04 MTS/IEEE Techno-Ocean '04 (IEEE Cat. No.04CH37600).

[7]  D.M. Kocak,et al.  Use of a video and laser system to quantify transect area for remotely operated vehicle (ROV) rockfish and abalone surveys , 2005, Proceedings of OCEANS 2005 MTS/IEEE.

[8]  Honghai Liu,et al.  Navigation Technologies for Autonomous Underwater Vehicles , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[9]  D. Yoerger,et al.  A Mission Controller for High Level Control of Autonomous and Semi-Autonomous Underwater Vehicles , 2006, OCEANS 2006.

[10]  C. Bradley,et al.  The Ocean Technology Test Bed - An Underwater Laboratory , 2007, OCEANS 2007.

[11]  C. Chryssostomidis,et al.  System identification of open-loop maneuvers leads to improved AUV flight performance , 2006, IEEE Journal of Oceanic Engineering.

[12]  P. Firoozfam,et al.  An ROV Stereovision System for Ship-Hull Inspection , 2006, IEEE Journal of Oceanic Engineering.

[13]  Asgeir J. Sørensen,et al.  Model-Based Output Feedback Control of Slender-Body Underactuated AUVs: Theory and Experiments , 2008, IEEE Transactions on Control Systems Technology.

[14]  N. Maruyama,et al.  Intelligent UUVs: Some issues on ROV dynamic positioning , 2007, IEEE Transactions on Aerospace and Electronic Systems.

[15]  D. Saul,et al.  BP's AUV Development program, Long Term Goals - Short Term Wins , 2007, OCEANS 2007.

[16]  P.-M. Sarradin,et al.  Victor 6000: New High Resolution Tools for Deep Sea Research. «Module de Mesures en Route» , 2007, OCEANS 2007 - Europe.

[17]  D. Scaradozzi,et al.  Underwater archeology missions design for data gathering automation , 2008, 2008 16th Mediterranean Conference on Control and Automation.

[18]  Daniel Toal,et al.  A Real-Time Subsea Environment Visualisation Framework for Simulation of Vision Based UUV Control Architectures , 2008 .

[19]  M. Caccia,et al.  Laser-Triangulation Optical-Correlation Sensor for ROV Slow Motion Estimation , 2006, IEEE Journal of Oceanic Engineering.

[20]  H. Thomas,et al.  Performance of an AUV navigation system at Arctic latitudes , 2005, IEEE Journal of Oceanic Engineering.

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

[22]  Yan Pailhas,et al.  Path Planning for Autonomous Underwater Vehicles , 2007, IEEE Transactions on Robotics.

[23]  R.H. Rines,et al.  1.0 Underwater Acoustics And Acoustical Oceanography 1.4 Acoustical oceanography; Correlations Amongst High Definition Side-Scan Sonar Images and Corresponding Remote Operating Vehicle Images of Geological, Man-Made and Possible Animal Remains Along the Bottom of Loch Ness, Scotland , 2007, OCEANS 2007 - Europe.

[24]  B. Jouvencel,et al.  Robust Nonlinear Path-Following Control of an AUV , 2008, IEEE Journal of Oceanic Engineering.

[25]  Rita Cunha,et al.  A Bottom-Following Preview Controller for Autonomous Underwater Vehicles , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

[26]  T. Hyakudome,et al.  A ROV "ABISMO" for the Inspection and Sampling in the Deepest Ocean and Its Operation Support System , 2008, OCEANS 2008 - MTS/IEEE Kobe Techno-Ocean.

[27]  Stephen M. Rock,et al.  Design and Validation of a Robotic Control Law for Observation of Deep-Ocean Jellyfish , 2006, IEEE Transactions on Robotics.

[28]  B. Evers,et al.  A Vehicle for Science and Exploration: Bringing Offshore Industry Advances and Experience to the Oceanographic Community , 2007, OCEANS 2007.

[29]  D. Toal,et al.  Automated Optimisation of Simultaneous Multibeam and Sidescan Sonar Seabed Mapping , 2007, OCEANS 2007 - Europe.

[30]  G. Waterworth,et al.  ROV serviceable science node for cabled ocean observatories , 2005, Proceedings of OCEANS 2005 MTS/IEEE.