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Optimal Control Design for Automatic Ship Berthing by Using Bow and Stern Thrusters  

Bui, Van Phuoc (Department of Mechanical and Control Engineering, Graduate School of Pukyong National University)
Jeong, Jeong-Soon (Department of Mechanical and Control Engineering, Graduate School of Pukyong National University)
Kim, Young-Bok (Department of Mechanical System Engineering, Pukyong National University)
Kim, Dong-Wook (Ha-young co., LTD)
Publication Information
Journal of Ocean Engineering and Technology / v.24, no.2, 2010 , pp. 10-17 More about this Journal
Abstract
Conventionally, because it is difficult to control a ship in shallow water and because attempting to do so creates unwanted environmental effects, maneuvering ships in the harbor area for berthing is usually done with the assistance of tugboats. In this paper, we propose a new method for berthing ships automatically by using bow and stern thrusters. Specifically, a steering motion model of a ship is considered, and parameters in the equation are evaluated by the system identification technique. An optimal controller based on observations was designed from the linearization of the non-linear ship motion in the horizontal plane. It is used to reduce the uncertainty about the ship's dynamics and reduce measurement requirements. The performance of the controller was also analyzed for its robustness relative to avoiding disturbing the environment due to winds, currents, and wave-drift forces. Experiments were conducted to estimate the potential for identifying result and the design of the controller. Specifically, in this paper, the system modeling and tracking control approach are discussed based on a two-degree-of-freedom (2DOF) servo-system design.
Keywords
Berthing; Ship motion model; System identification; Optimal control; Tunnel thruster; 2DOF servosystem;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 Ljung, L. (2002). “Prediction Error Estimation Methods”,Circuits System Signal Processing, Vol 21, No 1, pp11-21.   DOI   ScienceOn
2 Minorsky, N. (1922). “Direction Stability of Automatic SteeredBodies”, J. Amer. Soc. of Naval engineers, Vol 34, No 2,pp 280-309.
3 Nguyen, H.P. and Jung, C.Y. (2007). “Automatic BerthingControl of Ship Using Adaptive Neural Networks”,International Journal of Navigation and Port Research,Vol 31, No 7, pp 563-568.   DOI
4 Ohtsu, K., Shoju, K. and Okazaki, T. (1996). “A Minimum Time Maneuvering of Ship with Wind Disturbances”,Control Eng. Practice, Vol 4, No 3, pp 385-392.   DOI   ScienceOn
5 Okazaki, T. and Ohtsu, K. (2008). “A Study on Ship Berthing Support System”, IEEE International Conference on System, Man and Cybernetics, pp 1522-1527.   DOI
6 RealGain (2009). SIMTOOL4.0 Package, RealGain Co., Ltd.
7 Van Amerongen, J. and Udink, T.C.J. (1975). “Model Reference
8 Adaptive Autopilot for Ships”, Automatica, Vol 11, pp 441-449.   DOI   ScienceOn
9 Zhang, Z., Grant, E.H and Pratyush, S. (1997). “A Multivariable Neural Controller for Automatic Ship Berthing”, IEEE Control System, Vol 17, pp 31-44.   DOI   ScienceOn
10 Bennet, S. (1979). ”A History of Control Engineering 1800-1930”, Peter Peregrinus. London.
11 Djouani, K. and Hamam, Y. (1995). “Minimum Time _Energy Trajectory Planning for Automatic Ship Berthing”, IEEE Journal of Oceanic Engineering, Vol 20, No 1, pp 4-11.   DOI   ScienceOn
12 Fossen, T.I. (1994). Guidance and Control of Ocean Vehicle,John Wiley and Sons Ltd.
13 Grimble, M.J. and Patton, R.J. (1980). “Use of Kalman Filtering Techniques in Dynamic Ship Positioning System”,IEE Proceedings, Vol 127, No 3, pp 93-102.   DOI
14 Kim, Y.B., Lee, K.S. and Han, S.H. (2006). “An Experimental Sdudy on the Accurate Tracking Control of a Transfer Crane Based on the 2DOF Servosystem Design Approach”,Transaction of KCOE, Vol 20, No 5, pp 57-62.
15 Koyama, T. (1967). “All the Optimum Automatic SteeringSystem of Ship at Sea”, JSNA, Vol 122.
16 Kyun, I.N. and Hasegawa, K. (2002). “Motion Identification using Neural Networks and Its Application to Automatic Ship Berthing under Wing”, SOTECH, Vol 6, No 1, pp16-26.