Journal
OCEAN ENGINEERING
Volume 183, Issue -, Pages 426-436Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.oceaneng.2019.05.008
Keywords
Wave energy; System identification; Wave tank test; Discrete-time modelling; Nonlinear; NARX model; ARX model; Kolmogorov-Gabor polynomial model
Funding
- Science Foundation Ireland [13/IA/1886]
- Enterprise Ireland [EI/CF/2011/1320]
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This paper addresses the issue of hydrodynamic model identification from recorded tank test data, for a prototype wave energy device. The study focusses on nonlinear Kolmogorov-Gabor polynomial models, with linear models also used as a baseline reference. Six different experimental data sets are employed for model identification and validation, all derived from a JONSWAP input sea state. Compared to identification on numerical data, this study shows that the determination of model structure and orders is not so straightforward, but that consistent and useful computationally efficient models can be obtained. For the particular tests undertaken, in which the prototype device generally behaves as a wave follower, the nonlinear models only show very marginal performance improvement over the linear ones.
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