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    LTI energy-maximising control for the Wave Star wave energy converter: identification, design, and implementation


    García-Violini, Demián, Peña-Sanchez, Yerai, Faedo, Nicolás, Windt, Christian and Ringwood, John (2020) LTI energy-maximising control for the Wave Star wave energy converter: identification, design, and implementation. In: IFAC World Congress 2020, 11-17 July 2020, Berlin, Germany.

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    Abstract

    Considering the Wave Star wave energy converter (WEC), which is a standard point absorber prototype, this study addresses the complete energy maximising control design procedure. The WEC model is obtained using system identification routines. Then, using the identified model, a LTI energy maximising control strategy, recently presented in the literature, is designed. Additionally, for the wave excitation force estimation, a standard Kalman filter with a harmonic oscillator is considered. Finally, for the assessment of the performance of the complete system, the controller and estimator are implemented in the numerical WEC simulation environment WEC-Sim. The system is tested under realistic conditions and satisfying performance of the LTI controller is shown. Thus, through a non-conventional approach, and considering a realistic software environment, a novel energy maximising controller is implemented, obtaining results which indicate the feasibility of the approach.
    Item Type: Conference or Workshop Item (Paper)
    Additional Information: Funding: This material is based upon work supported by Science Foundation Ireland under Grant no. 13/IA/1886.
    Keywords: Wave energy; System Identification; Energy Maximising Control; Simulation;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research
    Faculty of Science and Engineering > Electronic Engineering
    Item ID: 14334
    Depositing User: Professor John Ringwood
    Date Deposited: 13 Apr 2021 15:10
    Refereed: Yes
    Funders: Science Foundation Ireland (SFI)
    Related URLs:
    URI: https://mu.eprints-hosting.org/id/eprint/14334
    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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