| Design and Simulation |
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| Improved Adaptive Neural Network Autopilot for Track-keeping Control of Ships |
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Phung-Hung Nguyen, Yun-Chul Jung |
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| Abstract |
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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 am 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-p oint 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. |
| Key Words:
Adaptive neural network;Autopilot;Track-keeping;Ship control;Track-keeping simulation |
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