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  4. Practical method for evaluating wind influence on autonomous ship operations
 
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Practical method for evaluating wind influence on autonomous ship operations

Publikationstyp
Journal Article
Publikationsdatum
2022
Sprache
English
Author
Maki, Atsuo 
Maruyama, Yuuki 
Dostal, Leo 
Sakai, Masahiro 
Sawada, Ryohei 
Sasa, Kenji 
Umeda, Naoya 
Institut
Mechanik und Meerestechnik M-13 
TORE-URI
http://hdl.handle.net/11420/13751
Enthalten in
Journal of marine science and technology 
Volume
27
Issue
4
Start Page
1302
End Page
1313
Citation
Journal of Marine Science and Technology (Japan) 27 (4): 1302-1313 (2022)
Publisher DOI
10.1007/s00773-022-00901-w
Scopus ID
2-s2.0-85138500479
The autonomous operations of marine vehicles have recently attracted significant attention. In particular, automation of harbor operations, such as autonomous docking or berthing, is a challenging target. In low-speed harbor operations, the external disturbance of wind is a non-negligible factor. Therefore, the stochastic behavior of gusty wind should be considered in numerical simulations. This study presents a practical computational scheme for generating random wind velocity fields. In the proposed method, the von Kármán’s spectrum [1] and Hino’s wind speed spectrum [2] were fitted by a degree of freedom (1DoF) filter driven by the Wiener process. The corresponding Itô’s equation had the form of the Ornstein–Uhlenbeck process. By employing the analytical solution of the Ornstein–Uhlenbeck process, the wind process was successfully generated without time series repetition. Furthermore, the wind speed and direction processes were also generated from the measured drift and diffusion terms. The spectra of these numerical results are consistent with the observed spectra.
Schlagworte
Estimation of drift and diffusion
Liner filter
Stochastic differential equation
Wind speed and direction
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