Control and guidance for homing and docking tasks using an autonomous underwater vehicle

This paper presents the results of a control and guidance strategy for homing and docking tasks using an autonomous underwater vehicle. An optimal high-order sliding mode control via state-dependent Riccati equation approach is introduced providing a robustness of motion control including elimination of chattering effect for decoupled systems of an AUV. Motion planning for a docking is introduced. The average vector field based on an artificial potential field method gives a desired trajectory using existing information from ocean network sensors. It provides a guidance for an AUV to follow the path to a required position with final desired orientation. A Line-of-Sight method is used for an AUV to follow the predefined path. In order to improve a docking manoeuver, a switched weight technique is proposed for controlling a vehicle's path and final stage docking.

[1]  Oussama Khatib,et al.  Real-Time Obstacle Avoidance for Manipulators and Mobile Robots , 1986 .

[2]  Robert E. Mahony,et al.  A bearing-only control law for stable docking of unicycles , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

[3]  Arie Levant,et al.  Higher-order sliding modes, differentiation and output-feedback control , 2003 .

[4]  Vadim I. Utkin,et al.  Sliding Modes and their Application in Variable Structure Systems , 1978 .

[5]  D. Galzi,et al.  UAV formations control using high order sliding modes , 2005, 2006 American Control Conference.

[6]  E. Wan,et al.  SDRE flight control for X-Cell and R-Max autonomous helicopters , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

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

[8]  J. S. Smith,et al.  Docking techniques and evaluation trials of the SWIMMER AUV: an autonomous deployment AUV for work-class ROVs , 2001, MTS/IEEE Oceans 2001. An Ocean Odyssey. Conference Proceedings (IEEE Cat. No.01CH37295).

[9]  Wei Ren,et al.  Constrained nonlinear tracking control for small fixed-wing unmanned air vehicles , 2004, Proceedings of the 2004 American Control Conference.

[10]  A. Levant.  Universal SISO sliding-mode controllers with finite-time convergence , 2001 .

[11]  Arie Levant,et al.  Universal single-input-single-output (SISO) sliding-mode controllers with finite-time convergence , 2001, IEEE Trans. Autom. Control..

[12]  M. Endo,et al.  Guidance and Control of Unmanned, Untethered Submersible for Rendezvous and Docking with Underwater Station , 1989, Proceedings OCEANS.

[13]  R. Pfeifer,et al.  A mobile robot employing insect strategies for navigation , 2000, Robotics Auton. Syst..

[14]  Miroslav Krstic,et al.  Global attitude/position regulation for underwater vehicles , 1999, Int. J. Syst. Sci..

[15]  C. Vuilmet.  High order sliding mode control applied to a heavyweight torpedo , 2005, Proceedings of 2005 IEEE Conference on Control Applications, 2005. CCA 2005..

[16]  M. D. Feezor,et al.  Autonomous underwater vehicle homing/docking via electromagnetic guidance , 1997, Oceans '97. MTS/IEEE Conference Proceedings.

[17]  Junku Yuh,et al.  Design and Control of Autonomous Underwater Robots: A Survey , 2000, Auton. Robots.

[18]  Panagiotis Tsiotras,et al.  New Control Laws for the Attitude Stabilization of Rigid Bodies , 1994 .

[19]  Ralf Möller,et al.  Insect visual homing strategies in a robot with analog processing , 2000, Biological Cybernetics.

[20]  D. T. Stansbery,et al.  Position and attitude control of a spacecraft using the state-dependent Riccati equation technique , 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).

[21]  Weiping Li,et al.  Applied Nonlinear Control , 1991 .

[22]  B. Jouvencel,et al.  Using a high order sliding modes for diving control a torpedo autonomous underwater vehicle , 2003, Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492).