한국항해항만학회:학술대회논문집 (Proceedings of the Korean Institute of Navigation and Port Research Conference)
- 한국항해항만학회 2005년도 추계학술대회 논문집
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- Pages.23-28
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- 2005
An Adaptive Autopilot for Course-keeping and Track-keeping Control of Ships using Adaptive Neural Network (Part II: Simulation study)
- NGUYEN Phung-Hung (Graduate school, Korea Maritime University) ;
- JUNG Yun-Chul (Div. of Navigation Systems Engineering, Korea Maritime University)
- 발행 : 2005.10.01
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, 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.
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