Giorgi, Simone, Davidson, Josh and Ringwood, John (2015) Identification of Nonlinear Excitation Force Kernels Using Numerical Wave Tank Experiments. Proceedings of the 11th European Wave and Tidal Energy Conference. ISSN 2309-1983
Preview
JR_identification.pdf
Download (2MB) | Preview
Abstract
This paper addresses the mathematical modelling
of the relationship between the free surface elevation (FSE) and
the excitation force for wave energy devices (excitation force
model). While most studies focus on the model relating the
FSE to the device motion, the excitation force model is required
to complete the mathematical wave energy system description
and also plays an important role in excitation force observer
design. In the paper, a range of linear and nonlinear modelling
methodologies, based on system identification from numerical
wave tank tests, are developed for a range of device geometries.
The results demonstrate a significant benefit in adopting a
nonlinear parameterisation and show that models are heavily
dependent on incident wave amplitude.
Item Type: | Article |
---|---|
Keywords: | Excitation force; System identification; Numerical wave tank; Wave energy; Discrete-time modelling; ARX model; Hammerstein model; Kolmogorov-Gabor Polynomial Model; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research |
Item ID: | 6668 |
Depositing User: | Professor John Ringwood |
Date Deposited: | 15 Dec 2015 12:02 |
Journal or Publication Title: | Proceedings of the 11th European Wave and Tidal Energy Conference |
Publisher: | European Wave and Tidal Energy Conference 2015 |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/6668 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Repository Staff Only (login required)
Downloads
Downloads per month over past year