Open AccessMoment-Matching-Based Identification of Wave Energy Converters: the ISWEC Device
Author(s) -
Nicolás Faedo,
Yerai PeñaSanchez,
John V. Ringwood
Publication year - 2018
Publication title -
ifac-papersonline
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.308
H-Index - 72
eISSN - 2405-8971
pISSN - 2405-8963
DOI - 10.1016/j.ifacol.2018.09.491
Subject(s) - convolution (computer science) , moment (physics) , parametric statistics , matching (statistics) , computation , computer science , energy (signal processing) , set (abstract data type) , identification (biology) , algorithm , mathematics , physics , classical mechanics , artificial intelligence , biology , statistics , programming language , botany , artificial neural network
The motion of a Wave Energy Converter (WEC) can be described in terms of a particular integro-differential equation, which involves a convolution product accounting for the radiation forces. This convolution term has a computational and a representational drawback both for simulation, and for analysis/design of control strategies. This study presents an application case of a method to obtain a parametric model of the force-to-motion dynamics and/or the radiation force convolution term, based on recent advances in moment-matching. This allows the computation of a model that exactly matches the frequency response of the original system at a chosen set of frequencies, while enforcing specific physical properties of the device.
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