Home Journals Articles Updates About
CN
image
收藏切换
Ship motion modeling and simulation based on characteristic model
收藏切换
PDF
Zexu Miao, Xianku Zhang*, Daocheng Ma, Lin Qiao
Navigation of China | 2026, 49(2) : 112 - 118
Less
收藏切换
Navigation of China | 2026, 49(2): 112-118
• Intelligent Shipping •
Ship motion modeling and simulation based on characteristic model
Full
Zexu Miao, Xianku Zhang*, Daocheng Ma, Lin Qiao
Affiliations
  • Navigation College, Dalian Maritime University, Dalian 116026, China
Published: 2026-04-25 doi: 10.3969/j.issn.1000-4653.2026.02.013
Outline
收藏切换

Ship motion modeling is crucial for developing intelligent control technology. Traditional modeling methods, however, have drawbacks such as a large number of parameters and insufficient precision. To address these issues, this paper focuses on the latest intelligent research and training ship "Xin-Hong-Zhuan" of Dalian Maritime University. A ship motion characteristic model is constructed using the characteristic modeling method. First, the study begins with Kalman filtering to preprocess real-ship test data. Next, the nonlinear innovation recursive least squares method with a forgetting factor is used to identify the model's parameters. Finally, turning circle tests and zigzag maneuver tests are conducted to verify the model's effectiveness and accuracy. The results show that the model has an agreement of 89.7%, fewer parameters, and higher precision than the traditional Nomoto model. This research offers a theoretical reference for applying characteristic models in navigation and is significant for improving the precision of ship motion control.

intelligent shipping  /  ship motion  /  characteristic mathematical model  /  nonlinear innovation  /  recursive least squares  /  Kalman filter
Zexu Miao, Xianku Zhang, Daocheng Ma, Lin Qiao. Ship motion modeling and simulation based on characteristic model[J]. Navigation of China, 2026 , 49 (2) : 112 -118 . DOI: 10.3969/j.issn.1000-4653.2026.02.013
Appendix
Less
Year 2026 volume 49 Issue 2
PDF
62
14
Cite this Article
BibTeX
Article Info
doi: 10.3969/j.issn.1000-4653.2026.02.013
  • Receive Date：2025-03-19
  • Online Date：2026-05-19
  • Published：2026-04-25
Article Data
Affiliations
History
  • Received：2025-03-19
Funding
Affiliations
    Navigation College, Dalian Maritime University, Dalian 116026, China
References
Share
https://castjournals.cast.org.cn/joweb/zghh/EN/10.3969/j.issn.1000-4653.2026.02.013
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
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
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House