Recursive identification of ship manoeuvring dynamics and hydrodynamics

Abstract

This article presents new applications of recursive identification methods to estimation of ship manoeuvring dynamics and hydrodynamics. A vessel operated in sea water can be represented by a mathematical model with unknown coefficients called ship manoeuvring dynamic coefficients or hydrodynamic coefficients. Computer simulation and full scale experiments on board a small vessel verify the feasibility of the methods and show that the estimated parameters converge very well. At the Australian Maritime College there are many model vessels without any mathematical models. Hydrodynamic coefficients of these model vessels are determined by experiments to be conducted with hydrodynamics facilities at the College and by the recursive estimation methods we develop. References W. W. Zhou, D. B. Cherchas, S. Calisal and G. Rohling. Identification of rudder-yaw and -roll steering model. Unknown source. 93--101. 1986. doi:10.1002/oca.4660150203. W. W. Zhou and M. Blanke. Identification of a class of nonlinear state space model using the recursive prediction error techniques. IEEE Transactions on Automatic Control. 34(2), 312--316, UK. 1986. C. C. Hang, T. H. Lee and W. K. Ho. Adaptive control. Instrument Society of America. USA. 1993. L. Ljung and T. Soderstrom. Theory and practice of recursive identification. MIT Press, MA, USA. 1983. H. D. Nguyen. Recursive optimal manoeuvring systems for maritime search and rescue mission. Proceedings of MTS/IEEE TECHNO-OCEAN'04 (OTO'04). 911--918, Kobe, Japan. 2004. http://ieeexplore.ieee.org/iel5/9636/30461/01405599.pdf H. D. Nguyen. Self-tuning pole assignment and optimal control systems for ships, Ph.D thesis. Tokyo University of Marine Science and Technology, Tokyo, Japan. 2001. W. W. Zhou. Linear and nonlinear recursive prediction error methods in state space model. Proceedings of 8th IFAC Symposium on Identification and Systems Parameter Estimation. 1092--1099, Beijing, China. 1988

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