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All Direction Approach Automatic Ship Berthing Controller Using ANN(Artificial Neural Networks)
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 Title & Authors
All Direction Approach Automatic Ship Berthing Controller Using ANN(Artificial Neural Networks)
Im, Nam-Kyun;
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This paper deals with ANN(Artificial Neural Networks) and its application to automatic ship berthing. Due to the characteristic of ship's manoeuvre comparing with other moving objects on land, it has been known that the automatic control for ship's berthing cannot cope with various berthing situations such as various port shape and approaching directions. for these reasons. the study on automatic berthing using ANN usually have been carried out based on one port shape and predetermined approaching direction. In this paper, new algorithm with ANN controller was suggested to cope with these problems. Under newly suggested algorithm, the controller can select appropriate weights on the link of neural networks according to various situations. so the ship can maintain stable berthing operation even in different situations. Numerical simulations are carried out with this control system to find its improvement.
ship;automatic berthing;ANN(Artificial Neural Networks);controller;
 Cited by
인공신경망을 이용한 선박의 자동접안 제어에 관한 연구,배철한;이승건;이상의;김주한;

한국항해항만학회지, 2008. vol.32. 8, pp.589-596 crossref(new window)
A Study of the Automatic Berthing System of a Ship Using Artificial Neural Network, Journal of Korean navigation and port research, 2008, 32, 8, 589  crossref(new windwow)
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