Modeling and Control of Underwater Mine Explorer Robot UX-1

This paper presents the design and experimental assessment of the control system for the UX-1 robot, a novel spherical underwater vehicle for flooded mine tunnel exploration. Propulsion and maneuvering are based on an innovative manifold system. First, the overall design concepts of the robot are presented. Then, a theoretical six degree-of-freedom (DOF) dynamic model of the system is derived. Based on the dynamic model, two control systems have been developed and tested, one based on the principle of nonlinear state feedback linearization and another based on a finite horizon linear quadratic regulator (LQR). A series of experimental tests have been carried out in a controlled environment to experimentally identify the complex parameters of the dynamic model. Furthermore, the two proposed controllers have been tested in underwater path tracking experiments designed to simulate navigation in mine tunnel environments. The experimental results demonstrated the effectiveness of both the proposed controllers and showed that the state feedback linearization controller outperforms the finite horizon LQR controller in terms of robustness and response time, while the LQR appears to be superior in terms of fall time.

[1]  S. K. Panda,et al.  Dynamic modeling of variable ballast tank for spherical underwater robot , 2013, 2013 IEEE International Conference on Industrial Technology (ICIT).

[2]  Shuxiang Guo,et al.  Design and characteristics evaluation of a novel spherical underwater robot , 2017, Robotics Auton. Syst..

[3]  Junku Yuh,et al.  Experimental study on a learning control system with bound estimation for underwater robots , 1996, Auton. Robots.

[4]  Frederick H Imlay THE COMPLETE EXPRESSIONS FOR ADDED MASS OF A RIGID BODY MOVING IN AN IDEAL FLUID , 1961 .

[5]  J. Yuh,et al.  Design of a semi-autonomous underwater vehicle for intervention missions (SAUVIM) , 1998, Proceedings of 1998 International Symposium on Underwater Technology.

[6]  Hanumant Singh,et al.  A Self‐Consistent Bathymetric Mapping Algorithm , 2007, J. Field Robotics.

[7]  Junmin Wang,et al.  A global optimization algorithm for energy-efficient control allocation of over-actuated systems , 2011, Proceedings of the 2011 American Control Conference.

[8]  James G. Bellingham,et al.  The application of autonomous underwater vehicles for interdisciplinary measurements in Massachusetts and Cape Cod Bays , 2002 .

[9]  Michio Ueno,et al.  Hydrodynamic Derivatives and Motion Response of a Submersible Surface Ship in unbounded water(Summaries of Papers Published by Staff of National Maritime Research Institute at Outside Organizations) , 2010 .

[10]  Peter N. Green,et al.  The design and technical challenges of a micro-autonomous underwater vehicle (μAUV) , 2011, 2011 IEEE International Conference on Mechatronics and Automation.

[11]  Shuxiang Guo,et al.  Passive and active attitude stabilization method for the spherical underwater robot (SUR-II) , 2013, 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[12]  André Dias,et al.  UX 1 system design - A robotic system for underwater mining exploration , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[13]  Junku Yuh,et al.  Development of an underwater robot, ODIN-III , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

[14]  Claudio Rossi,et al.  Design, Modeling and Control of a Spherical Autonomous Underwater Vehicle for Mine Exploration , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[15]  Peter N. Green,et al.  Design considerations for Micro-Autonomous Underwater Vehicles (μAUVs) , 2010, 2010 IEEE Conference on Robotics, Automation and Mechatronics.

[16]  Jussi Aaltonen,et al.  Early stage design of a spherical underwater robotic vehicle , 2016, 2016 20th International Conference on System Theory, Control and Computing (ICSTCC).

[17]  Junku Yuh,et al.  Applications of marine robotic vehicles , 2011, Intell. Serv. Robotics.

[18]  Leigh McCue,et al.  Handbook of Marine Craft Hydrodynamics and Motion Control [Bookshelf] , 2016, IEEE Control Systems.

[19]  Timothy Prestero,et al.  Verification of a six-degree of freedom simulation model for the REMUS autonomous underwater vehicle , 2001 .

[20]  Jon Rigelsford,et al.  Underwater Robots: Motion and Force Control of Vehicle-Manipulator Systems , 2004 .

[21]  Jose Villa,et al.  Mechanical subsystems integration and structural analysis for the autonomous underwater explorer , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[22]  Thor I. Fossen,et al.  Nonlinear Modelling And Control Of Underwater Vehicles , 1994 .

[23]  Steve Nadis,et al.  ‘Real-Time’ Oceanography Adapts to Sea Changes , 1997, Science.

[24]  Kjetil Bergh Ånonsen,et al.  Autonomous mapping with AUVs using relative terrain navigation , 2017, OCEANS 2017 – Anchorage.

[25]  Pere Ridao,et al.  Motion Planning for an Underwater Mobile Manipulator by Exploiting Loose Coupling , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[26]  Annett Wechsler,et al.  Formulas For Natural Frequency And Mode Shape , 2016 .

[27]  N. Storkersen,et al.  HUGIN-AUV concept and operational experiences to date , 2004, Oceans '04 MTS/IEEE Techno-Ocean '04 (IEEE Cat. No.04CH37600).