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)
  • Received : 2009.09.25
  • Accepted : 2010.04.23
  • Published : 2010.04.30

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

References

  1. Bennet, S. (1979). ”A History of Control Engineering 1800-1930”, Peter Peregrinus. London.
  2. 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. https://doi.org/10.1109/48.380251
  3. Fossen, T.I. (1994). Guidance and Control of Ocean Vehicle,John Wiley and Sons Ltd.
  4. 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. https://doi.org/10.1049/ip-d:19800015
  5. 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.
  6. Koyama, T. (1967). “All the Optimum Automatic SteeringSystem of Ship at Sea”, JSNA, Vol 122.
  7. 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.
  8. Ljung, L. (2002). “Prediction Error Estimation Methods”,Circuits System Signal Processing, Vol 21, No 1, pp11-21. https://doi.org/10.1007/BF01211648
  9. Minorsky, N. (1922). “Direction Stability of Automatic SteeredBodies”, J. Amer. Soc. of Naval engineers, Vol 34, No 2,pp 280-309.
  10. 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. https://doi.org/10.5394/KINPR.2007.31.7.563
  11. 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. https://doi.org/10.1016/0967-0661(96)00016-0
  12. Okazaki, T. and Ohtsu, K. (2008). “A Study on Ship Berthing Support System”, IEEE International Conference on System, Man and Cybernetics, pp 1522-1527. https://doi.org/10.1109/ICSMC.2008.4811502
  13. RealGain (2009). SIMTOOL4.0 Package, RealGain Co., Ltd.
  14. Van Amerongen, J. and Udink, T.C.J. (1975). “Model Reference
  15. Adaptive Autopilot for Ships”, Automatica, Vol 11, pp 441-449. https://doi.org/10.1016/0005-1098(75)90020-5
  16. 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. https://doi.org/10.1109/37.608535