Neural Network Based Rudder-Roll Damping Control System for Ship

• 발행기관: 한국항해항만학회
• 저자명: 구엔풍흥(Phung-Hung NGUYEN) 정연철(Yun-Chul JUNG)
• 간행물 정보: 『한국항해항만학회 학술대회논문집』2007 춘계공동학술대회논문집(제1권), 145~149쪽, 전체 5쪽
• 주제분류: 공학 > 해양공학
• 파일형태: PDF
• 발행일자: 2007.04.30

영문 초록

This paper presents new application of adaptive neural network to design a Rudder-Roll Damping (RRD) control system for ship. Firstly, the neural network controller to be applied is presented. Secondly, a RRD control system using this neural network approach is developed. It uses two neural network controllers for heading control and roll damping control separately. Finally, we carry out computer simulation of this RRD control system to compare with a linear quadratic optimal RRD control system; discussions and conclusions are provided. The simulation results show the feasibility of proposed neural network control approach in designing RRD control system for ship and its improvements compared with the conventional approach.

목차

Abstract

1. Introduction

2. General Configuration of NN Controller

3. ANNAI-based RRD Control System

4. Simulation Results

5. Discussion and Conclusion

References

키워드

Adaptive Neural Networks Heading Control Rudder-Roll Damping Control