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    Receding Horizon Pseudo-Spectral Control for Energy Maximization of a 1/25th Scale Hinge-Barge Wave Energy Converter


    Paparella, Francesco and Ringwood, John (2017) Receding Horizon Pseudo-Spectral Control for Energy Maximization of a 1/25th Scale Hinge-Barge Wave Energy Converter. Proceedings of the 12th European Wave and Tidal Energy Conference 27th Aug -1st Sept 2017 (699). pp. 1-8. ISSN 2309-1983

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    Abstract

    This paper addresses the real-time optimal control of a1/25thscale three-body hinge-barge wave energy device. The objective of the control is to maximize the power extracted by the device under given constraints on the maximum displacements,velocities and control forces. An optimal pseudo-spectral control based on the Half-Range Chebyshev-Fourier basis functions is presented. HRCF basis functions are well suited for the approximation of non-periodic signals, allowing the representation of both the transient and steady-state response of the device.A reduced equivalent dynamic model of the device, which is computationally more advantageous than a full dynamic model,is obtained for the optimal control problem formulation. Results show that pseudo-spectral control outperforms a simple control strategy based on the optimal constant passive damping for both monochromatic and polychromatic waves.
    Item Type: Article
    Keywords: Multi-body wave energy converter; receding horizon; energy maximization; pseudo-spectral control; 1/25th scale model;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research
    Item ID: 12460
    Depositing User: Professor John Ringwood
    Date Deposited: 18 Feb 2020 15:52
    Journal or Publication Title: Proceedings of the 12th European Wave and Tidal Energy Conference 27th Aug -1st Sept 2017
    Publisher: European Wave and Tidal Energy Conference 2017
    Refereed: Yes
    Funders: Science Foundation Ireland (SFI), Marine Renewable Ireland Centre
    URI: https://mu.eprints-hosting.org/id/eprint/12460
    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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