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    Moment-Matching-Based Identification of Wave Energy Converters: the ISWEC Device


    Faedo, Nicolás, Peña-Sanchez, Yerai and Ringwood, John (2018) Moment-Matching-Based Identification of Wave Energy Converters: the ISWEC Device. Control Applications in Marine Systems, Robotics, and Vehicles, 51 (29). pp. 189-194.

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    Abstract

    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.
    Item Type: Article
    Additional Information: This is the preprint version of the published article, which is available at Nicolás Faedo, Yerai Peña-Sanchez, John V. Ringwood, Moment-Matching-Based Identification of Wave Energy Converters: the ISWEC Device⁎⁎This material is based upon works supported by Science Foundation Ireland under Grant no. 13/IA/1886., IFAC-PapersOnLine, Volume 51, Issue 29, 2018, Pages 189-194, ISSN 2405-8963, https://doi.org/10.1016/j.ifacol.2018.09.491. P
    Keywords: Radiation forces; System identification; Wave energy; Moment-matching;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research
    Item ID: 13118
    Identification Number: 10.1016/j.ifacol.2018.09.491
    Depositing User: Laura Gallagher
    Date Deposited: 26 Jun 2020 22:23
    Journal or Publication Title: Control Applications in Marine Systems, Robotics, and Vehicles
    Publisher: IFAC
    Refereed: Yes
    Related URLs:
    URI: https://mu.eprints-hosting.org/id/eprint/13118
    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

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