한국항해항만학회지 (Journal of Navigation and Port Research)

  • 제30권4호
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  • Pages.259-265
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  • 2006
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  • 1598-5725(pISSN)
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  • 2093-8470(eISSN)
한국항해항만학회 (Korean Institute of Navigation and Port Research)
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Improved Adaptive Neural Network Autopilot for Track-keeping Control of Ships: Design and Simulation

  • 발행 : 2006.06.01
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초록

This paper presents an improved adaptive neural network autopilot based on our previous study for track-keeping control of ships. The proposed optimal neural network controller can automatically adapt its learning rate and number of iterations. Firstly, the track-keeping control system of ships is described For the track-keeping control task, a way-point based guidance system is applied To improve the track-keeping ability, the off-track distance caused by external disturbances is considered in learning process of neural network controller. The simulations of track-keeping performance are presented under the influence of sea current and wind as well as measurement noise. The toolbox for track-keeping simulation on Mercator chart is also introduced.

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참고문헌

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