Heading Control of ROV ROSUB 6000 using Non-linear Model-aided PD approach

A non-linear model-aided PD approach for implementing heading control algorithms in the 6000 m depth rated Remotely Operated Vehicle (ROSUB 6000) has been developed by National Institute of Ocean Technology, India is presented in this paper. ROSUB 6000 is developed for carrying out gas hydrate surveys, poly-metallic nodule exploration, deep water interventions, bathymetric surveys and salvage operations. A proper hydrodynamic model is required in the design of efficient guidance, navigation and control systems of ROV. Hydrodynamic modeling normally involves determination of added mass and drags coefficients from basic principles or scaled down models which are prone to inaccuracies. The proposed methodology makes use of vehicle onboard sensors and thrusters for identifying the vehicle hydrodynamic model parameters. This method is best suited for variable configuration ROV, where payload and shape changes with the mission objective. Experiments have been carried out to identify the hydrodynamic parameters in heading degree of freedom (DOF). The values are implemented in the model-based control algorithm aided by PD control. The heading control loop is found to perform with a heading maintenance with accuracy better than 2 deg. in the test environment. The closed loop heading motion is found to have a time constant of less than 30 seconds. Keywords— Dynamic modeling, Hydrodynamic modeling, ROV, ROV Cybernetics, Underwater heading control.

[1]  V. Vadivelan,et al.  Technology Tool For Deep Ocean Exploration ¿ Remotely Operated Vehicle , 2010 .

[2]  C. Silvestre,et al.  Control of the SIRENE Underwater Shuttle : System Design and Tests at Sea . , 1998 .

[3]  M. Caccia,et al.  Modeling and identification of open-frame variable configuration unmanned underwater vehicles , 2000, IEEE Journal of Oceanic Engineering.

[4]  Gerald Seet,et al.  Estimation of the Hydrodynamics Coefficients of an ROV using Free Decay Pendulum Motion , 2008, Eng. Lett..

[5]  Newton Maruyama,et al.  Hydrodynamic parameter estimation of an open frame unmanned underwater vehicle , 2008 .

[6]  Jean-Jacques E. Slotine,et al.  The influence of thruster dynamics on underwater vehicle behavior and their incorporation into control system design , 1990 .

[7]  G. A. Ramadass,et al.  Distributed Real Time Control Systems for Deep Water ROV (ROSUB 6000) , 2010, FIRA RoboWorld Congress.

[8]  Tor Arne Johansen,et al.  Identification of underwater vehicle hydrodynamic coefficients using free decay tests , 2004 .

[9]  D. Sathianarayanan,et al.  Deep sea qualification of remotely operable vehicle (ROSUB 6000) , 2013, 2013 IEEE International Underwater Technology Symposium (UT).

[10]  B. B. Shabarinath,et al.  Analysis Of PID Controller For Second Order System Using NI Labview , 2011 .

[11]  D. Sathianarayanan,et al.  Challenges in realizing robust systems for deep water submersible ROSUB6000 , 2013, 2013 IEEE International Underwater Technology Symposium (UT).

[12]  A. J. Healey Model-Based Maneuvering Controls for Autonomous Underwater Vehicles , 1992 .

[13]  D. Scaradozzi,et al.  Evaluation of hydrodynamics parameters of a UUV. A preliminary study , 2004, First International Symposium on Control, Communications and Signal Processing, 2004..

[14]  Thor I. Fossen,et al.  Adaptive control of nonlinear underwater robotic systems , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.

[15]  D.A. Smallwood,et al.  Preliminary experiments in the adaptive identification of dynamically positioned underwater robotic vehicles , 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).

[16]  Louis L. Whitcomb,et al.  Advances in dynamical modeling and control of underwater robotic vehicles , 2003 .

[17]  Louis L. Whitcomb,et al.  Adaptive identification of dynamically positioned underwater robotic vehicles , 2003, IEEE Trans. Control. Syst. Technol..