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Automatic Berthing Control of Ship Using Adaptive Neural Networks
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 Title & Authors
Automatic Berthing Control of Ship Using Adaptive Neural Networks
Nguyen, Phung-Hung; Jung, Yun-Chul;
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 Abstract
In this paper, an adaptive neural network controller and its application to automatic berthing control of ship is presented. The neural network controller is trained online using adaptive interaction technique without any teaching data and off-line training phase. Firstly, the neural networks used to control rudder and propeller during automatic berthing process are presented. Secondly, computer simulations of automatic ship berthing are carried out in Pusan bay to verify the proposed controller under the influence of wind disturbance and measurement noise. The results of simulation show good performance of the developed berthing control system.
 Keywords
Adaptive neural networks;Berthing control;Berthing guidance algorithm;Off-track distance;
 Language
English
 Cited by
1.
Optimal Control Design for Automatic Ship Berthing by Using Bow and Stern Thrusters,;;;;

한국해양공학회지, 2010. vol.24. 2, pp.10-17
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