Model predictive control of a hybrid autonomous underwater vehicle with experimental verification

In this work, model predictive control is used to provide transit and hover capabilities for an autonomous underwater vehicle where the description of the system dynamics used include terms measured experimentally. The resulting controller manoeuvres the vehicle in the presence of constraints on the actuators and results obtained from the deployment of the vehicle in an inland lake for the study of the zebra mussel, an invasive species, are also given.

[1]  Matthias Abt,et al.  Concepts In Submarine Design , 2016 .

[2]  Morgan Quigley,et al.  ROS: an open-source Robot Operating System , 2009, ICRA 2009.

[3]  M. Purcell,et al.  REMUS: a small, low cost AUV; system description, field trials and performance results , 1997, Oceans '97. MTS/IEEE Conference Proceedings.

[4]  Leonid M. Fridman,et al.  Analysis of Chattering in Systems With Second-Order Sliding Modes , 2007, IEEE Transactions on Automatic Control.

[5]  P. Stevenson,et al.  AUV shapes - Combining the Practical and Hydrodynamic Considerations , 2007, OCEANS 2007 - Europe.

[6]  Neil Bose,et al.  C-SCOUT: a general-purpose AUV for systems research , 2000 .

[7]  Scott R. Sideleau,et al.  The backseat control architecture for autonomous robotic vehicles: A case study with the Iver2 AUV , 2009, OCEANS 2009.

[8]  Leo V. Steenson Preliminary results of a hover capable AUV attempting transitional flight , 2011 .

[9]  Leo V. Steenson Experimentally verified model predictive control of a hover-capable AUV , 2013 .

[10]  Stephen R. Turnock,et al.  Delphin2: an over actuated autonomous underwater vehicle for manoeuvring research , 2013 .

[11]  L. Medagoda,et al.  Model predictive control of an autonomous underwater vehicle in an in situ estimated water current profile , 2012, 2012 Oceans - Yeosu.

[12]  M. Pebody,et al.  Autosub-1. A distributed approach to navigation and control of an autonomous underwater vehicle , 1997 .

[13]  Stephen R. Turnock,et al.  Control of an AUV from thruster actuated hover to control surface actuated flight , 2011 .

[14]  Peter J. Gawthrop,et al.  Intermnittent Model Predictive Control of an Autonomous Underwater Vehicle , 2006, 2006 9th International Conference on Control, Automation, Robotics and Vision.

[15]  Grant E. Hearn,et al.  Modelling tunnel thrusters for autonomous underwater vehicles , 2008 .

[16]  Cathy Maguire,et al.  ECOLOGICAL CHANGE IN LOUGH ERNE: INFLUENCE OF CATCHMENT CHANGES AND SPECIES INVASIONS , 2010 .

[17]  Roy Burcher,et al.  Concepts in Submarine Design , 1994 .

[18]  R. Rosell,et al.  FIRST REPORTED SETTLEMENT OF ZEBRA MUSSELS DREISSENA POLYMORPHA IN THE ERNE SYSTEM, CO. FERMANAGH, NORTHERN IRELAND , 1999 .

[19]  Peter J. Gawthrop,et al.  Intermittent model predictive control of an autonomous underwater vehicle , 2006 .

[20]  S. Desset,et al.  Closer to deep underwater science with ODYSSEY IV class hovering autonomous underwater vehicle (HAUV) , 2005, Europe Oceans 2005.

[21]  A. J. Healey,et al.  Multivariable sliding mode control for autonomous diving and steering of unmanned underwater vehicles , 1993 .

[22]  Liuping Wang,et al.  Model Predictive Control System Design and Implementation Using MATLAB , 2009 .

[23]  M. Santhakumar,et al.  A Self-Tuning Proportional-Integral-Derivative Controller for an Autonomous Underwater Vehicle, Based On Taguchi Method , 2010 .

[24]  Agus Budiyono Model predictive control for autonomous underwater vehicle , 2010 .

[25]  Thor I. Fossen,et al.  Guidance and control of ocean vehicles , 1994 .

[26]  Alan J. Murphy,et al.  Nature in engineering for monitoring the oceans: comparison of the energetic costs of marine animals and AUVs , 2012 .

[27]  Stephen D. McPhail,et al.  Autosub6000: A Deep Diving Long Range AUV , 2009 .

[28]  Robert R. Bitmead,et al.  Performance and Computational Implementation of Nonlinear Model Predictive Control on a Submarine , 2000 .

[29]  G E Packard,et al.  Hull inspection and confined area search capabilities of REMUS autonomous underwater vehicle , 2010, OCEANS 2010 MTS/IEEE SEATTLE.