Practical aspects of frequency-domain identification of dynamic models of marine structures from hydrodynamic data

Perez, Tristan & Fossen, Thor I. (2011) Practical aspects of frequency-domain identification of dynamic models of marine structures from hydrodynamic data. Ocean Engineering, 38(2-3), pp. 426-435.

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Abstract

The motion response of marine structures in waves can be studied using finite-dimensional linear-time-invariant approximating models. These models, obtained using system identification with data computed by hydrodynamic codes, find application in offshore training simulators, hardware-in-the-loop simulators for positioning control testing, and also in initial designs of wave-energy conversion devices. Different proposals have appeared in the literature to address the identification problem in both time and frequency domains, and recent work has highlighted the superiority of the frequency-domain methods. This paper summarises practical frequency-domain estimation algorithms that use constraints on model structure and parameters to refine the search of approximating parametric models. Practical issues associated with the identification are discussed, including the influence of radiation model accuracy in force-to-motion models, which are usually the ultimate modelling objective. The illustration examples in the paper are obtained using a freely available MATLAB toolbox developed by the authors, which implements the estimation algorithms described.

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33 citations in Scopus
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28 citations in Web of Science®

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ID Code: 70680
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Keywords: System identification, Fluid-memory models, Radiation-force models, Time-domain seakeepingmodels
DOI: 10.1016/j.oceaneng.2010.11.004
ISSN: 1873-5258
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: © 2010 Elsevier Ltd. All rights reserved.
Deposited On: 30 Apr 2014 02:14
Last Modified: 19 May 2014 01:56

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