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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.19 No.3
- 발행연도
- 2019.9
- 수록면
- 163 - 171 (9page)
- DOI
- 10.5391/IJFIS.2019.19.3.163
이용수
초록· 키워드
오류제보하기
Because the maneuverability of ship at low speed is reduced significantly, ship berthing is one of most difficult duties that ship master usually has to face as arriving at the port. In order to make sure the safe accomplishment of ship berthing, all steps need to be performed properly. In fact of maritime safety, the tugboats and thrusters are commonly utilized to support crabbing motion of ship in final stage of berthing process before mooring. In addition, because of the nonlinear of ship dynamic on berthing, theories of artificial intelligence are suitable to mimic the actions of ship master in controlling ship berthing automatically. In this article, a support system is proposed to bring ship into berth automatically after using the maneuvering control system. Three fuzzy controllers are established for different tasks of the berthing algorithm. The first controller is designed to control the movement of ship in longitudinal direction toward to the normal of wharf with the ship’s propeller, while the task of second controller is to stabilize the relative bearing error with tugboat. The final controller is responsible for bring the ship into wharf according to crabbing motion with bow thruster and tugboat simultaneously. Finally, numerical simulations are carried out to validate the performance of the proposed system. The results show that the berthing support system has good performance for ship.
목차
Abstract
1. Introduction
2. Mathematical Model of Ship Motion
3. The Concept of Automatic Berthing Support System for Ship
4. The Proposed Support System for Automatic Ship Berthing Using Fuzzy Logic
5. Numerical Simulation for Validation
6. Conclusions
References
참고문헌 (10)
참고문헌 신청
H. Yamato / 1990 / Automatic berthing by the neural controller / Proceedings of the 9th Ship Control Systems Symposium :3183~3201
N. Im / 2001 / A study on automatic ship berthing using parallel neural controller / Journal of the Kansai Society of Naval Architects of Japan 236:65~70
N. Im / 2007 / An application of ANN to automatic ship berthing using selective controller / International Journal on Marine Navigation and Safety of Sea Transportation 1(1):101~105
Yaseen Adnan Ahmed / 2013 / Automatic ship berthing using artificial neural network trained by consistent teaching data using nonlinear programming method / Engineering Applications of Artificial Intelligence 26(10):2287~2304
Namkyun Im / 2018 / Artificial neural network controller for automatic ship berthing using head-up coordinate system / International Journal of Naval Architecture and Ocean Engineering 10(3):235~249
N. Im / 2001 / A study on automatic ship berthing using parallel neural controller / Journal of the Kansai Society of Naval Architects of Japan 236:65~70
N. Im / 2007 / An application of ANN to automatic ship berthing using selective controller / International Journal on Marine Navigation and Safety of Sea Transportation 1(1):101~105
Yaseen Adnan Ahmed / 2013 / Automatic ship berthing using artificial neural network trained by consistent teaching data using nonlinear programming method / Engineering Applications of Artificial Intelligence 26(10):2287~2304
Namkyun Im / 2018 / Artificial neural network controller for automatic ship berthing using head-up coordinate system / International Journal of Naval Architecture and Ocean Engineering 10(3):235~249
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