Journal of Ship and Ocean Technology

The Society of Naval Architects of Korea (대한조선학회)
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Motion Identification using Neural Networks and Its Application to Automatic Ship Berthing under Wind

  • Im, Nam-Kyun (Department of Naval Architecture & Ocean Engineering, Graduate School of Engineering, Osaka University) ;
  • Kazuhiko Hasegawa (Department of Naval Architecture & Ocean Engineering, Graduate School of Engineering, Osaka University)
  • Published : 2002.03.01
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Abstract

In this paper, a motion identification method using neural networks is applied to automatic ship berthing to overcome disturbance effects. Motion identification is used to estimate the effect of environmental disturbance. Two rule-based algorithms have been developed to over-come disturbance. The first rule based-algorithm was designed to overcome lateral disturbance when a ship's lateral speed is affected by it. The second rule-based algorithm was also designed to overcome longitudinal disturbance when a ship's angular velocity is changed by it. Finally, numerical simulations for automatic berthing are carried out, and the suggested control system is proved to be more practical under disturbance circumstances.

Keywords

References

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