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    Robust Control of Wave Energy Converters Using Spectral and Pseudospectral Methods: A Case Study


    García-Violini, Demián and Ringwood, John (2019) Robust Control of Wave Energy Converters Using Spectral and Pseudospectral Methods: A Case Study. In: 2019 American Control Conference (ACC). IEEE, pp. 4779-4784. ISBN 9781538679265

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    Abstract

    Although Spectral and Pseudospectral methods have been used in a wide range of optimal control applications, to date, most of the literature uses these methods in a nonrobust sense without considering possible dynamic deviation (uncertainties) from the nominal model. This study applies a recent robust approach for spectral and pseudospectral methods to a wave energy converter, considering structured uncertainty in the dynamical system. The results show that the robust approach gives better worst-case performance than an equivalent non-robust approach. Additionally, when structured uncertainty is considered in the dynamical system, the results show that the absorbed energy, obtained with the robust approach, is always positive. Finally, the advantages of this new approach are commented.

    Item Type: Book Section
    Additional Information: Funding: This material is based upon works supported by Science Foundation Ireland under Grant no. 13/IA/1886. Thanks to Nicolas Faedo for the discussion during this study. Cite as: D. García-Violini and J. V. Ringwood, "Robust Control of Wave Energy Converters Using Spectral and Pseudospectral Methods: A Case Study," 2019 American Control Conference (ACC), Philadelphia, PA, USA, 2019, pp. 4779-4784, doi: 10.23919/ACC.2019.8815297.
    Keywords: Robust Control; Wave Energy Converters; Spectral; Pseudospectral; Methods; Case Study;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research
    Item ID: 14278
    Identification Number: https://doi.org/10.23919/ACC.2019.8815297
    Depositing User: Professor John Ringwood
    Date Deposited: 30 Mar 2021 14:09
    Publisher: IEEE
    Refereed: Yes
    Funders: Science Foundation Ireland (SFI)
    URI:

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