Modeling of ship maneuvering motion using neural networks

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• 作者：Weilin Luo ; Zhicheng Zhang
• 关键词：ship maneuvering ; response models ; MMG model ; system identification ; neural networks
• 刊名：Journal of Marine Science and Application
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：15
• 期：4
• 页码：426-432
• 全文大小：903 KB
• 刊物类别：Engineering
• 刊物主题：Offshore Engineering
  Machinery and Machine Elements
  Electrical Power Generation and Transmission
  Chinese Library of Science
  
• 出版者：Harbin Engineering University
• ISSN：1993-5048
• 卷排序：15

文摘

In this paper, Neural Networks (NNs) are used in the modeling of ship maneuvering motion. A nonlinear response model and a linear hydrodynamic model of ship maneuvering motion are also investigated. The maneuverability indices and linear non-dimensional hydrodynamic derivatives in the models are identified by using two-layer feed forward NNs. The stability of parametric estimation is confirmed. Then, the ship maneuvering motion is predicted based on the obtained models. A comparison between the predicted results and the model test results demonstrates the validity of the proposed modeling method.