Parameter Identification of an Unmanned Sailboat Combining Experiments and Numerical Analysis Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.3390/jmse12122226
It is meaningful to develop an accurate model to predict the dynamical motion of an unmanned sailboat. Considering cost and convenience, this work proposes a parameter identification method based on the combination of experiments and numerical analysis. Firstly, a free-running trial is carried out by utilizing the propellers on the studied sailboat to acquire real navigation information. Secondly, particle swarm optimization (PSO), which is highly efficient and easily implemented, is designed to acquire the hydrodynamic parameters of the sailboat’s hull. At the same time, the aerodynamic parameters of the sail are acquired by computational fluid dynamics (CFD) simulation. Finally, a three degree-of-freedom (DOF) model is established, the effectiveness of which is verified through comparisons between sea trials and simulation. The results prove that this parameter identification method has the desired accuracy and reliability.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/jmse12122226
- OA Status
- gold
- Cited By
- 2
- References
- 26
- Related Works
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- OpenAlex ID
- https://openalex.org/W4404993380
Raw OpenAlex JSON
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https://openalex.org/W4404993380Canonical identifier for this work in OpenAlex
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https://doi.org/10.3390/jmse12122226Digital Object Identifier
- Title
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Parameter Identification of an Unmanned Sailboat Combining Experiments and Numerical AnalysisWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-12-04Full publication date if available
- Authors
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Yifan Chen, Shuo Liu, Tian Xie, Zhaozhao Zhang, Yu Zhang, Wanglin Lin, Kaiwen Jiang, Tao WangList of authors in order
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https://doi.org/10.3390/jmse12122226Publisher landing page
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.3390/jmse12122226Direct OA link when available
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Identification (biology), Aerospace engineering, Computer science, Marine engineering, Environmental science, Geology, Engineering, Biology, BotanyTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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