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On the Application of Artificial Neural Networks for the Real Time Prediction of Parametric Roll Resonance

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URI: http://hdl.handle.net/2183/40731
DOI: https://doi.org/10.1007/978-3-031-16329-6_20

Publication date

2023-03-29

Authors

Pérez Rojas, Luis

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Bibliographic citation

Míguez González, M., Díaz Casás, V., López Peña, F., Pérez Rojas, L. (2023). On the Application of Artificial Neural Networks for the Real Time Prediction of Parametric Roll Resonance. In: Spyrou, K.J., Belenky, V.L., Katayama, T., Bačkalov, I., Francescutto, A. (eds) Contemporary Ideas on Ship Stability. Fluid Mechanics and Its Applications, vol 134. Springer, Cham. https://doi.org/10.1007/978-3-031-16329-6_20

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Abstract

[Abstract]: In this paper, the practical implementation methodology of an artificial neural network (ANN) based parametric roll prediction system, is studied. In order to avoid expensive scale tests, an uncoupled nonlinear roll model is applied to tune the system. The capability of this model to accurately simulate the phenomenon of parametric roll resonance is validated using towing tank tests. Finally, the behavior of the ANN system for forecasting roll motion in a realistic sailing condition has been investigated, obtaining very promising results.

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Keywords

Parametric rolling Neural networks Time series forecasting Ship stability

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https://doi.org/10.1007/978-3-031-16329-6_20

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Investigación (EPEF)