Future predictions of wave and response of multiple floating bodies based on the Kalman filter algorithm

The present work explores the possibility of predicting future waves by extending the Kalman filter algorithm by incorporating the spatial distance between two points. Experimental data at 2D tank are used to validate the effectiveness of the proposed method. When causality limitation is fulfilled,...

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Bibliographic Details
Published inJournal of ocean engineering and marine energy Vol. 10; no. 1; pp. 137 - 154
Main Authors Isnaini, Rodhiatul, Tatsumi, Akira, Iijima, Kazuhiro
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 01.02.2024
Springer Nature B.V
Subjects
Algorithms
Coastal Sciences
Distance
Engineering
Engineering Fluid Dynamics
Floating bodies
Kalman filters
Mechanical Engineering
Oceanography
Offshore Engineering
Renewable and Green Energy
Scaling
Wave predicting
Spatial distance
Tank test
Causality
Future predictions
Kalman filter
Transfer functions
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Summary:The present work explores the possibility of predicting future waves by extending the Kalman filter algorithm by incorporating the spatial distance between two points. Experimental data at 2D tank are used to validate the effectiveness of the proposed method. When causality limitation is fulfilled, it is found that 3–8 s or several cycles of waves ahead can be predicted in model scale, depending on the distance between the two points. If a scaling of 1/100 is adopted, this means 30–80 s waves ahead can be estimated. The longer the distance, the longer future predictable time will be. Response predictions using wave prediction data are also investigated. The results for the response prediction also exhibits high accuracy, with even higher predictable future time (80–120 s ahead given 1/100 scale ratio) compared to its associated predictable future time of waves.
ISSN:2198-6444
2198-6452
DOI:10.1007/s40722-023-00304-y