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

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초록

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.

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.

참고문헌 (14)

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  3. Fossen, T.I, "Guidance and Control of Ocean Vehicle" (1994), John Wiley and Sons Ltd.
  4. Grimble, M.J, "Use of Kalman Filtering Techniques in Dynamic Ship Positioning System", IEE Proceedings, 127(3), pp.93~102 (1980)
  5. 김영복, "트랜스퍼 크레인의 고정도 주행제어에 관한 연구 : 2자유도 서보계 설계법을 이용한 제어계 설계 및 실험적 연구", 한국해양공학회지, 20(5), pp.57~62 (2006), 한국해양공학회
  6. Koyama,T, "All the Optimum Automatic Steering System of Ship at Sea", JSNA, 122 (1967)
  7. Kyun, I.N, "Motion Identification using Neural Networks and Its Application to Automatic Ship Berthing under Wing", SOTECH, 6(1), pp.16~26 (2002)
  8. Ljung,L, "Prediction Error Estimation Methods", Circuits System Signal Processing, 21(1), pp.11~21 (2002)
  9. Minorsky,N, "Direction Stability of Automatic Steered Bodies", J. Amer. Soc. of Naval engineers, 34(2), pp.280~309 (1922)
  10. Phung-Hung NGUYEN, "Automatic Berthing Control of Ship Using Adaptive Neural Networks", 한국항해항만학회지, 30(7), pp.557~562 (2007), 한국항해항만학회
  11. Ohtsu, K, "A Minimum Time Maneuvering of Ship with Wind Disturbances", Control Eng. Practice, 4(3), pp.385~392 (1996)
  12. Okazaki, T, "A Study on Ship Berthing Support System", IEEE International Conference on System, Man and Cybernetics, pp.1522~1527 (2008)
  13. RealGain, "SIMTOOL4.0 Package" (2009), RealGain Co., Ltd
  14. Zhang, Z, "A Multivariable Neural Controller for Automatic Ship Berthing", IEEE Control System, 17, pp.31~44 (1997)

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