An Adaptive Autopilot for Course-keeping and Track-keeping Control of Ships using Adaptive Neural Network

• 발행기관: 한국항해항만학회
• 저자명: Phung-hung Nguyen Yun-Chul Jung
• 간행물 정보: 『한국항해항만학회지』제30권 제2호, 119~124쪽, 전체 6쪽
• 주제분류: 공학 > 해양공학
• 파일형태: PDF
• 발행일자: 2006.03.30

영문 초록

In Part I(theoretical study) of the paper, a new adaptive autopilot for ships based on Adaptive Neural Networks was proposed The ANNAI autopilot was designed for course-keeping, turning and track-keeping control for ships. In this part of the paper, to show the effectiveness and feasibility of the ANNAI autopilot and automatic selection algorithm for learning rate and number of iterations, computer simulations of course-keeping and track-keeping tasks with and without the effects of measurement noise and external disturbances are presented Additionally, the results of the previous studies using Adaptive Neural Network by backpropagation algorithm are also showed for comparison.

목차

1. Introduction

2. Simulations

3. Conclusions

키워드

Adaptive neural networks Adaptive interaction Autopilot Course-keeping and Turning control Track-keeping control