Active Use of Restoring Moments for Motion Control of an Underwater Vehicle-Manipulator System

This paper proposes a framework for actively using the restoring moments of an underwater vehicle-manipulator system (UVMS) considering both kinematic and control aspects. The kinematic aspect concerns redundancy resolution of the UVMS where the redundant degrees of freedom are used to selectively optimize the restoring moments. For this, a performance index with variable gradient gain is newly proposed, in which the gain is determined by the result in the comparison of the task direction with the direction of the restoring moments. The control aspect concerns compensation of the restoring forces and moments. In this framework, the control input makes up for the difference between the performances due to the desired dynamics and the restoring moments. This is accomplished by compensation of the restoring forces and moments, which are consistently updated under certain constraints. In addition, the compensation and optimal proportional-integral-derivative (PID) control are merged into a robust adaptive control. The proposed framework requires only masses, buoyant forces, and centers of gravity and buoyancy, not any hydrodynamic parameters. Numerical simulations are presented to demonstrate the performance of the proposed framework, in which a UVMS can perform specific tasks with less control input and achieve smaller tracking errors compared to conventional control systems.

[1]  S. Chiaverini,et al.  Singularity-free regulation of underwater vehicle-manipulator systems , 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).

[2]  Wan Kyun Chung,et al.  Redundancy resolution for underwater vehicle-manipulator systems with minimizing restoring moments , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[3]  Junku Yuh,et al.  Real-time center of buoyancy identification for optimal hovering in autonomous underwater intervention , 2010, Intell. Serv. Robotics.

[4]  K. Ishii,et al.  Development and Control of an Underwater Manipulator for AUV , 2007, 2007 Symposium on Underwater Technology and Workshop on Scientific Use of Submarine Cables and Related Technologies.

[5]  Chien Chern Cheah,et al.  Adaptive Vision and Force Tracking Control for Robots With Constraint Uncertainty , 2010, IEEE/ASME Transactions on Mechatronics.

[6]  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).

[7]  Ron P. Podhorodeski,et al.  Redundancy resolution for underwater mobile manipulators , 2010 .

[8]  Chien Chern Cheah,et al.  Adaptive setpoint control of underwater vehicle-manipulator systems , 2004, IEEE Conference on Robotics, Automation and Mechatronics, 2004..

[9]  Nilanjan Sarkar,et al.  Coordinated motion planning and control of autonomous underwater vehicle-manipulator systems subject to drag optimization , 2001 .

[10]  Matthew W. Dunnigan,et al.  Redundancy resolution for underwater vehicle-manipulator systems with congruent gravity and buoyancy loading optimization , 2009, 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[11]  Gianluca Antonelli,et al.  Underwater robots: Motion and force control of vehicle , 2006 .

[12]  Sadao Kawamura,et al.  An attitude control system for underwater vehicle-manipulator systems , 2010, 2010 IEEE International Conference on Robotics and Automation.

[13]  Junku Yuh,et al.  Adaptive control of underwater vehicle-manipulator systems subject to joint limits , 1999, Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289).

[14]  Wan Kyun Chung,et al.  Coordinated motion control of Underwater Vehicle-Manipulator System with minimizing restoring moments , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[15]  Carrick Detweiler,et al.  AMOUR V: A Hovering Energy Efficient Underwater Robot Capable of Dynamic Payloads , 2010, Int. J. Robotics Res..

[16]  Wan Kyun Chung,et al.  PID Trajectory Tracking Control for Mechanical Systems , 2004 .

[17]  Thor I. Fossen,et al.  Marine Control Systems Guidance, Navigation, and Control of Ships, Rigs and Underwater Vehicles , 2002 .

[18]  Peter X. Liu,et al.  PD output feedback control design for industrial robotic manipulators , 2011, 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

[19]  Jonghoon Park,et al.  Geometric integration on Euclidean group with application to articulated multibody systems , 2005, IEEE Transactions on Robotics.

[20]  C. S. G. Lee,et al.  Robotics: Control, Sensing, Vision, and Intelligence , 1987 .

[21]  Gianluca Antonelli,et al.  Adaptive tracking control of underwater vehicle-manipulator systems based on the virtual decomposition approach , 2004, IEEE Transactions on Robotics and Automation.

[22]  David M. Fratantoni,et al.  UNDERWATER GLIDERS FOR OCEAN RESEARCH , 2004 .

[23]  Shinichi Sagara,et al.  Digital RAC for underwater vehicle-manipulator systems considering singular configuration , 2005, Artificial Life and Robotics.

[24]  Jonghoon Park Principle of Dynamical Balance for Multibody Systems , 2005 .