Identification of dynamic models for a wave energy converter from experimental data

OCEAN ENGINEERING

卷:183

Article

Giorgi, Simone¹  Davidson, Josh¹  Jakobsen, Morten²  Kramer, Morten²  Ringwood, John V.¹ 

[1] Maynooth Univ, Ctr Ocean Energy Res, Maynooth, Kildare, Ireland

[2] Aalborg Univ, Dept Civil Engn, Aalborg, Denmark

关键词: Wave energy;    System identification;    Wave tank test;    Discrete-time modelling;    Nonlinear;    NARX model;    ARX model;    Kolmogorov-Gabor polynomial model;   

DOI  :  10.1016/j.oceaneng.2019.05.008

来源: Elsevier

【 摘 要 】

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.

【 授权许可】

Free