Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/43372

OpenURL Link
Title
Joint identification of infinite-frequency added mass and fluid-memory models of marine structures
Author/Creator
Perez, Tristan;  Fossen, Thor I.
Institution
The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science
Description
This paper addresses the problem of joint identification of infinite-frequency added mass and fluid memory models of marine structures from finite frequency data. This problem is relevant for cases where the code used to compute the hydrodynamic coefficients of the marine structure does not give the infinite-frequency added mass. This case is typical of codes based on 2D-potential theory since most 3D-potential-theory codes solve the boundary value associated with the infinite frequency. The method proposed in this paper presents a simpler alternative approach to other methods previously presented in the literature. The advantage of the proposed method is that the same identification procedure can be used to identify the fluid-memory models with or without having access to the infinite-frequency added mass coefficient. Therefore, it provides an extension that puts the two identification problems into the same framework. The method also exploits the constraints related to relative degree and low-frequency asymptotic values of the hydrodynamic coefficients derived from the physics of the problem, which are used as prior information to refine the obtained models.
Relation
Modeling, Identification and Control Vol. 29, Issue 3, p. 93-102
Publisher Link
http://dx.doi.org/10.4173/mic.2008.3.2
Date
2008
Publisher
Norwegian Society of Automatic Control
Keyword(s)
identification;  frequency-domain;  marine structure models
Resource Type
journal article
Identifier
http://hdl.handle.net/1959.13/43372
Identifier
ISSN:1890-1328
Reviewed
Reviewed
29 Visitors 35 Hits 1 Downloads
Save/E-mail Citation
Citation Format
E-mail Address
Subject
"Modeling, Identification and Control"
 
OR