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    Experimental Implementation and Validation of a Broadband LTI Energy-Maximizing Control Strategy for the Wavestar Device


    Garcia-Violini, Demian and Pena-Sanchez, Yerai and Faedo, Nicolas and Windt, Christian and Ferri, Francesco and Ringwood, John (2021) Experimental Implementation and Validation of a Broadband LTI Energy-Maximizing Control Strategy for the Wavestar Device. IEEE Transactions on Control Systems Technology, 29 (6). pp. 2609-2621. ISSN 1063-6536

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    Abstract

    This study addresses the experimental validation of a linear time-invariant (LTI) energy-maximizing control strategy for wave energy converters (WECs), applied to a 1/20 scale Wavestar WEC. To fulfill this objective, system identification routines are utilized to compute a mathematical (parametric) model of the input–output dynamics of the device, suitable for control design and implementation. With this parametric model, the so-called LiTe-Con energy-maximizing strategy, recently published in the literature, is designed, synthesized, and tested under irregular wave excitation in the wave basin at Aalborg University. Given that the LiTe-Con requires instantaneous knowledge of the wave excitation effects, estimates are provided by means of an unknown-input Kalman filter, designed in close synergy with the so-called internal model principle. For the experimental assessment, both controller and estimator are directly implemented in a real-time architecture. The performance of the LiTe-Con is evaluated in terms of energy-absorption, showing consistent results with respect to those obtained in numerical simulation, hence validating the LiTe-Con controller in a realistic real-time scenario

    Item Type: Article
    Keywords: Experimental tests; impedance-matching; linear time-invariant (LTI); optimal control; wave energy;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research
    Item ID: 16122
    Identification Number: https://doi.org/10.1109/TCST.2021.3052479
    Depositing User: Professor John Ringwood
    Date Deposited: 16 Jun 2022 14:22
    Journal or Publication Title: IEEE Transactions on Control Systems Technology
    Refereed: Yes
    URI:

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