Automatic berthing control of ship using Artificial Neural Networks with assistance of side thruster and tugboat

• 발행기관: 한국항해항만학회
• 저자명: Van-Luong TRAN Im Namkyun
• 간행물 정보: 『한국항해항만학회 학술대회논문집』2008 추계공동학술대회논문집, 33~34쪽, 전체 2쪽
• 주제분류: 공학 > 해양공학
• 파일형태: PDF
• 발행일자: 2008.12.31

영문 초록

In this study, ANN is applied to design the controllers for automatic ship berthing using assistant devices such as bow thruster and tug. Using back-propagation algorithm, we trained ANN with set of teaching data to get a minimal error between output values and desired values of four control outputs including rudder, propeller revolution, bow thruster and tug. Then, computer simulations of automatic berthing were carried out to verify the effectiveness of the system. The results of simulation showed good performance of the developed berthing control system.

목차

ABSTRACT

1. Introduction

2. Ship mathematical model and automatic berthing system using ANN

3. Automatic berthing control system with assistance of side thruster and tugboat

4. Conclusions

References

키워드

Automatic berthing neural networks side thruster tugboat