期刊
OCEAN ENGINEERING
卷 183, 期 -, 页码 426-436出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.oceaneng.2019.05.008
关键词
Wave energy; System identification; Wave tank test; Discrete-time modelling; Nonlinear; NARX model; ARX model; Kolmogorov-Gabor polynomial model
资金
- Science Foundation Ireland [13/IA/1886]
- Enterprise Ireland [EI/CF/2011/1320]
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据