A Co-operative Hybrid Model For Ship Motion Prediction

“A Co-operative Hybrid Model For Ship Motion Prediction”

Authors: Robert Skulstad, Guoyuan Li, Thor I. Fossen, Tongtong Wang and Houxiang Zhang,
Affiliation: NTNU Aalesund and NTNU, Department of Engineering Cybernetics
Reference: 2021, Vol 42, No 1, pp. 17-26.

Keywords: Ship motion prediction, Hybrid model, Dynamics

Abstract: Dynamic models of ships have been widely used for model-based control and short-term prediction in the past. Identifying the parameters of such models has mainly been done through scaled model tests, full scale tests or computational fluid dynamics software. This is a challenging task due to the many aspects that influence the ship dynamic behaviour and thus one would expect a certain degree of mismatch between the actual motion of the ship and the modelled behaviour. The mismatch in the dynamic model may be due to unmodelled effects, but also the lack of measurements of waves and ocean current. To make up for the discrepancies the authors propose to create a co-operative hybrid model consisting of the dynamic model and a neural network, where the neural network predicts the acceleration error of the dynamic model. The approach is tested on real data originating from the Research Vessel (RV) Gunnerus performing a shutdown of thrusters during stationkeeping. The subsequent task is to predict the propagation of position and heading while drifting due to wind, wave and current forces. Comparing the motion of the real ship and the modelled ship, shows the improved prediction accuracy of the hybrid model.

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PDF (718 Kb) DOI: 10.4173/mic.2021.1.2

DOI forward links to this article:

[1] Motoyasu Kanazawa, Robert Skulstad, Guoyuan Li, Lars Ivar Hatledal and Houxiang Zhang (2021), doi:10.1109/JSEN.2021.3119069

[2] Motoyasu Kanazawa, Robert Skulstad, Tongtong Wang, Guoyuan Li, Lars Ivar Hatledal and Houxiang Zhang (2022), doi:10.1109/JSEN.2022.3171036

[3] Motoyasu Kanazawa, Lars Ivar Hatledal, Guoyuan Li and Houxiang Zhang (2022), doi:10.1007/978-3-031-12429-7_13

[4] Motoyasu Kanazawa, Tongtong Wang, Robert Skulstad, Guoyuan Li and Houxiang Zhang (2022), doi:10.1016/j.oceaneng.2022.112998

[5] Gianluca Antonelli, Stefano Chiaverini and Paolo Di Lillo (2022), doi:10.1007/s11071-022-08192-x

[6] Wenzhuo Shi, Zimeng Guo, Zixiang Dai, Shizhen Li and Meng Chen (2024), doi:10.3390/jmse12081413

[7] Peng QIN, Jianjun LUO, Weihua MA and Liming WU (2024), doi:10.1051/jnwpu/20244230377

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BibTeX:
@article{MIC-2021-1-2,
  title={{A Co-operative Hybrid Model For Ship Motion Prediction}},
  author={Skulstad, Robert and Li, Guoyuan and Fossen, Thor I. and Wang, Tongtong and Zhang, Houxiang},
  journal={Modeling, Identification and Control},
  volume={42},
  number={1},
  pages={17--26},
  year={2021},
  doi={10.4173/mic.2021.1.2},
  publisher={Norwegian Society of Automatic Control}
};

Article

“A Co-operative Hybrid Model For Ship Motion Prediction”