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Real-time prediction of ship maneuvering motion at sea based on improved Reduced-Order Model
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Chang-zhe CHENa, Lu ZOUa, b, Zao-jian ZOUa, b
Journal of Ship Mechanics | 2026, 30(4) : 557 - 567
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Journal of Ship Mechanics | 2026, 30(4): 557-567
Hydrodynamics
Real-time prediction of ship maneuvering motion at sea based on improved Reduced-Order Model
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Chang-zhe CHENa, Lu ZOUa, b, Zao-jian ZOUa, b
Affiliations
  • a.Shanghai Jiao Tong University, School of Ocean and Civil Engineering Shanghai 200240, China
  • b.Shanghai Jiao Tong University, State Key Laboratory of Ocean Engineering, Shanghai 200240, China
Published: 2026-04-15 doi: 10.3969/j.issn.1007-7294.2026.04.005
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The real-time prediction of ship motion is one of the key technologies to ensure safe and efficient navigation of ships. Based on the Higher Order Dynamic Mode Decomposition (HODMD) algorithm, this paper constructs an improved Reduced-Order Model (ROM) for real-time prediction of ship maneuvering motion. The improved ROM enhances the correlation between maneuvering motion parameters of similar frequencies by separately incorporatng the parameters into high-frequency and low-frequency input samples according to their frequency features. The prediction of ship maneuvering motion under environmental influences is conducted by using the ship motion data of a 35° turning circle maneuver of the ship YUKUN at sea. The comparative analysis of prediction accuracy between the improved ROM and the original ROM shows that the improved ROM exhibits significantly higher accuracy in predicting low-frequency motion and a slight improvement in predicting high-frequency motion compared to the original ROM.

ship maneuvering motion at sea  /  real-time prediction  /  Higher Order Dynamic Mode Decomposition  /  Reduced-Order Model
Chang-zhe CHEN, Lu ZOU, Zao-jian ZOU. Real-time prediction of ship maneuvering motion at sea based on improved Reduced-Order Model[J]. Journal of Ship Mechanics, 2026 , 30 (4) : 557 -567 . DOI: 10.3969/j.issn.1007-7294.2026.04.005
Year 2026 volume 30 Issue 4
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doi: 10.3969/j.issn.1007-7294.2026.04.005
  • Receive Date:2025-08-08
  • Online Date:2026-07-07
  • Published:2026-04-15
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  • Received:2025-08-08
Affiliations
    a.Shanghai Jiao Tong University, School of Ocean and Civil Engineering Shanghai 200240, China
    b.Shanghai Jiao Tong University, State Key Laboratory of Ocean Engineering, Shanghai 200240, China
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表12种不同金属材料的力学参数

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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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