The auto-berthing of a ship requires excellent control for safe accomplishment. Crabbing, which is the pure sway motion of a ship without surge velocity, can be used for this purpose. Crabbing is induced by a peculiar operation procedure known as the push-pull mode. When a ship is in the push-pull mode, an interacting force is induced by complex turbulent flow around the ship generated by the propellers and side thrusters. In this paper, three degrees of freedom equations of the motions of crabbing are derived. The equations are used to apply the adaptive backstepping control method to the auto-berthing controller of a cruise ship. The controller is capable of handling the system nonlinearity and uncertainty of the berthing process. A control allocation algorithm for a ship equipped with two propellers and two side thrusters is also developed, the performance of which is validated by simulation of auto-berthing.
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Djouani, K., Hamam, Y., 1995. Minimum time-energy trajectory planning for automatic ship berthing. IEEE Journal of Oceanic Engineering, 20(1), pp.4-12.
Fossen, T.I., 1994. Guidance and control of ocean vehicles. New York: John Wiley and Sons Ltd.
Fujiwara, T., Ueno, M. and Nimura, T., 2001. An estimation method of wind forces and moments acting on ships. Mini Symposium on Prediction of Ship Manoeuvring Performance, Tokyo, Japan, 18 October 2001, pp.83-92.
Hasegawa, K. and Kitera, K., 1993. Automatic berthing control system using neural network and knowledge-base. Journal of Kansai Society of Naval Architecture of Japan, 220, pp.135-143.
Hasegawa, K. and Kitera, K., 1993. Mathematical model of manoeuvrability at low advance speed and its application to berthing control. Proceedings of 2nd Japan-Korea joint workshop on ship and marine hydrodynamics, Osaka, 28-30 June 1993, pp.34-43.
Hasegawa, K., 1994. On harbor maneuvering and neural control system for berthing with tug operation. Proceedings of 3rd International Conference Maneuvering and Control of Marine Craft (MCMC’94), Southampton, U.K., pp.197-210.
Im, N.K. and Hasegawa, K., 2001. A study on automatic ship berthing using parallel neural controller. Journal of the Kansai Society of Naval Architects, 236, pp.65-70.
Lee, S.W., Hwang, Y.S. and Kim, Y.S., 2000. Crabbing simulation of ship with twin rudder and twin skeg(in Korean). Proceedings of the Annual Spring Meeting, Society of Naval Architects of Korea, Kwangju, pp.144-147.
Kokotovic, P.V., 1992. The joy of feedback: nonlinear and adaptive. IEEE Control Systems Magazine, 12, pp.7-17.
Koyama, T., Yan, J. and Huan, J.K., 1987, A systematic study on automatic berthing control (1st Report) (in Japanes). Journal of the Kansai Society of Naval Architects, 162, pp.201-210.
Motora, S., 1959. On the measurement of added mass and added moment of inertia for ship motions. Journal of Zosen Kiokai, 105, pp.83-92.
Quadvlieg, F.H.H.A. and Toxopeus S.L., 1998. Prediction of Crabbing in the Early Design Stage. Amsterdam: Elsevier Science B.V.
Yamato, H., Uetsuki, H. and Koyama T., 1990. Automatic berthing by the neural controller. Proceeding of Ninth Ship Control Systems Symposium, Bethesda, USA, pp. 183-201.
Yamato, H. and Koyama, T and Nakagawa, T., 1993. Automatic berthing using the expert system(in Japanese). Journal of the Society of Naval Architects of Japan, 174, pp.327-337.
Yoo, W.J., Yoo, B.Y. and Rhee, K.P., 2006. An Experimental study on the maneuvering characteristics of a twin propeller/ twin rudder ship during berthing and unberthing. Ships and Offshore Structures, 1(3), pp.191-198.
Yoshimura, Y., 1988. Mathematical model for the manoeuvring ship motion in shallow water (2nd Report) - mathematical model at slow forward speed. Journal of Kansai Society of Naval Architects, 210, pp.77-84.