Modeling and Analyzing the Impact of Environmental Disturbances in Vessel Model Estimation
Environmental disturbances such as wind, currents, and waves introduce uncertainties in hydrodynamic parameter estimation, affecting the accuracy of ship maneuvering models and trajectory prediction. This study investigates how these disturbances influence the estimation of hydrodynamic derivatives...
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| Format: | Article |
| Language: | English |
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Norwegian Society of Automatic Control
2025-01-01
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| Series: | Modeling, Identification and Control |
| Subjects: | |
| Online Access: | http://www.mic-journal.no/PDF/2025/MIC-2025-1-3.pdf |
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| _version_ | 1850131264662667264 |
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| author | Beatriz Sanguino Tongtong Wang Guoyuan Li Øyvind Kåre Kjerstad Houxiang Zhang |
| author_facet | Beatriz Sanguino Tongtong Wang Guoyuan Li Øyvind Kåre Kjerstad Houxiang Zhang |
| author_sort | Beatriz Sanguino |
| collection | DOAJ |
| description | Environmental disturbances such as wind, currents, and waves introduce uncertainties in hydrodynamic parameter estimation, affecting the accuracy of ship maneuvering models and trajectory prediction. This study investigates how these disturbances influence the estimation of hydrodynamic derivatives in the Abkowitz maneuvering model and their impact on their accuracy. Therefore, models are estimated using least squares regression based on data from four maneuvers conducted under different wind and current conditions. A comparison of the resulting hydrodynamic derivatives identifies parameters that exhibit greater variance as disturbance intensity increases. To further assess their influence on the trajectory prediction error, Sobol sensitivity analysis is applied to determine which parameter variations most significantly affect trajectory accuracy. The results reveal that while some parameters remain stable across environmental conditions, others exhibit slight variations. Additionally, the parameters most affected by disturbances are not necessarily those with the greatest impact on trajectory prediction error. These findings highlight the importance of accounting for environmental effects in vessel model estimation to improve prediction reliability and provide deeper insight into how disturbances impact the model estimation process. |
| format | Article |
| id | doaj-art-b7252ac90baa44e9bd342f8ff83d97d1 |
| institution | OA Journals |
| issn | 0332-7353 1890-1328 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Norwegian Society of Automatic Control |
| record_format | Article |
| series | Modeling, Identification and Control |
| spelling | doaj-art-b7252ac90baa44e9bd342f8ff83d97d12025-08-20T02:32:29ZengNorwegian Society of Automatic ControlModeling, Identification and Control0332-73531890-13282025-01-01461354910.4173/mic.2025.1.3Modeling and Analyzing the Impact of Environmental Disturbances in Vessel Model EstimationBeatriz SanguinoTongtong WangGuoyuan LiØyvind Kåre KjerstadHouxiang ZhangEnvironmental disturbances such as wind, currents, and waves introduce uncertainties in hydrodynamic parameter estimation, affecting the accuracy of ship maneuvering models and trajectory prediction. This study investigates how these disturbances influence the estimation of hydrodynamic derivatives in the Abkowitz maneuvering model and their impact on their accuracy. Therefore, models are estimated using least squares regression based on data from four maneuvers conducted under different wind and current conditions. A comparison of the resulting hydrodynamic derivatives identifies parameters that exhibit greater variance as disturbance intensity increases. To further assess their influence on the trajectory prediction error, Sobol sensitivity analysis is applied to determine which parameter variations most significantly affect trajectory accuracy. The results reveal that while some parameters remain stable across environmental conditions, others exhibit slight variations. Additionally, the parameters most affected by disturbances are not necessarily those with the greatest impact on trajectory prediction error. These findings highlight the importance of accounting for environmental effects in vessel model estimation to improve prediction reliability and provide deeper insight into how disturbances impact the model estimation process.http://www.mic-journal.no/PDF/2025/MIC-2025-1-3.pdfmaneuvering model; external disturbances; parameter estimation; least square regression; sensitivity analysis |
| spellingShingle | Beatriz Sanguino Tongtong Wang Guoyuan Li Øyvind Kåre Kjerstad Houxiang Zhang Modeling and Analyzing the Impact of Environmental Disturbances in Vessel Model Estimation Modeling, Identification and Control maneuvering model; external disturbances; parameter estimation; least square regression; sensitivity analysis |
| title | Modeling and Analyzing the Impact of Environmental Disturbances in Vessel Model Estimation |
| title_full | Modeling and Analyzing the Impact of Environmental Disturbances in Vessel Model Estimation |
| title_fullStr | Modeling and Analyzing the Impact of Environmental Disturbances in Vessel Model Estimation |
| title_full_unstemmed | Modeling and Analyzing the Impact of Environmental Disturbances in Vessel Model Estimation |
| title_short | Modeling and Analyzing the Impact of Environmental Disturbances in Vessel Model Estimation |
| title_sort | modeling and analyzing the impact of environmental disturbances in vessel model estimation |
| topic | maneuvering model; external disturbances; parameter estimation; least square regression; sensitivity analysis |
| url | http://www.mic-journal.no/PDF/2025/MIC-2025-1-3.pdf |
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