Integrative and Derivative Terms in Adaptive Neural Network Controller for Track Control of Ships

• 발행기관: 한국항해항만학회
• 저자명: Phung-Hung NGUYEN Yun-Chul JUNG
• 간행물 정보: 『한국항해항만학회 학술대회논문집』2008 추계공동학술대회논문집, 27~28쪽, 전체 2쪽
• 주제분류: 공학 > 해양공학
• 파일형태: PDF
• 발행일자: 2008.12.31

영문 초록

This paper presents new results of our previously developed neural network controller for track control of ship. In addition to off-track distance, its integrative and derivative terms are added to the cost function. These terms improve the control performance by making the controller produce appropriate rudder angle to eliminate the off-track distance caused by external disturbances. We carry out computer-based simulations to compare the new control algorithm with previous one. The combination of new control algorithm and Line-of-Sight guidance and other conventional guidance methods are set up to find the best track control system. We found out how the integrative and derivative terms affect the track control performance. It is shown by the simulation results that the best performance can be achieved by using the new control algorithm with LOS guidance method.

목차

Abstract

1. Introduction

2. The Modified ANNAI Controller for Track Control

2. Simulation Results

4. Conclusion

References

키워드

Adaptive neural networks Light-Of-Sight guidance Track control system