Adaptive output tracking control of a surface vessel

In this paper, the tracking control of a three degree-of-freedom marine vessel is examined. The novelty of this work is the transformation of the asymmetric inertia matrix into a symmetric, positive definite matrix. The asymmetry arises from the added mass common to practical surface vessels and creates a significant challenge for control design. The control design is further complicated by the parametric uncertainties in the dynamic model of the vessel. Two adaptive control schemes with a projection-based adaptation law are proposed: a full-state feedback controller and an output feedback controller. Both controllers are known to yield a uniformly ultimately bounded tracking result in the presence of parametric uncertainty. Numerical simulation results are shown to demonstrate the validity of the proposed controllers.

[1]  M. Feemster,et al.  Positioning of Large Surface Vessels using Multiple Tugboats , 2007, 2007 American Control Conference.

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

[3]  Mello Moraes Experimental and numerical evaluation of a typical dynamic positioning system , 2006 .

[4]  D.M. Dawson,et al.  Robust output tracking control of a surface vessel , 2008, 2008 American Control Conference.

[5]  Roger Skjetne,et al.  Adaptive maneuvering, with experiments, for a model ship in a marine control laboratory , 2005, Autom..

[6]  Warren E. Dixon,et al.  Tracking and regulation control of an underactuated surface vessel with nonintegrable dynamics , 2002, IEEE Trans. Autom. Control..

[7]  Asgeir J. Sørensen,et al.  Design of hybrid controller for dynamic positioning from calm to extreme sea conditions , 2007, Autom..

[8]  Hassan K. Khalil,et al.  A separation principle for the stabilization of a class of nonlinear systems , 1997, 1997 European Control Conference (ECC).

[9]  K. D. Do,et al.  Global tracking control of underactuated ships with nonzero off-diagonal terms in their system matrices , 2005, Autom..

[10]  L. Praly,et al.  Adaptive nonlinear regulation: estimation from the Lyapunov equation , 1992 .

[11]  NguyenTrong Dong,et al.  Design of hybrid controller for dynamic positioning from calm to extreme sea conditions , 2007 .

[12]  Roger Skjetne,et al.  A Nonlinear Ship Manoeuvering Model: Identification and adaptive control with experiments for a model ship , 2004 .

[13]  Farbod Fahimi Non-linear model predictive formation control for groups of autonomous surface vessels , 2007, Int. J. Control.

[14]  K. D. Do Global Robust and Adaptive Output Feedback Dynamic Positioning of Surface Ships , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[15]  A. Behal,et al.  Adaptive output feedback control for a class of MIMO nonlinear systems , 2006, 2006 American Control Conference.