Rotational Speed Control Using ANN-Based MPPT for OWC Based on Surface Elevation Measurements

M’zoughi, Fares; Garrido, Izaskun; Garrido, Aitor J.; De La Sen, Manuel

doi:10.3390/app10248975

Open AccessArticle

Rotational Speed Control Using ANN-Based MPPT for OWC Based on Surface Elevation Measurements

¹

Automatic Control Group—ACG, Institute of Research and Development of Processes—IIDP, Department of Automatic Control and Systems Engineering, Faculty of Engineering of Bilbao, University of the Basque Country—UPV/EHU, Po Rafael Moreno no3, 48013 Bilbao, Spain

²

Automatic Control Group—ACG, Institute of Research and Development of Processes—IIDP, Department of Electricity and Electronics, Faculty of Science and Technology, University of the Basque Country—UPV/EHU, Bo Sarriena s/n, 48080 Leioa, Spain

^*

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Appl. Sci. 2020, 10(24), 8975; https://doi.org/10.3390/app10248975

Submission received: 13 October 2020 / Revised: 7 December 2020 / Accepted: 12 December 2020 / Published: 16 December 2020

(This article belongs to the Special Issue Modeling, Design and Control of Electric Machines)

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Abstract

This paper presents an ANN-based rotational speed control to avoid the stalling behavior in Oscillating Water Columns composed of a Doubly Fed Induction Generator driven by a Wells turbine. This control strategy uses rotational speed reference provided by an ANN-based Maximum Power Point Tracking. The ANN-based MPPT predicts the optimal rotational speed reference from wave amplitude and period. The neural network has been trained and uses wave surface elevation measurements gathered by an acoustic Doppler current profiler. The implemented ANN-based rotational speed control has been tested with two different wave conditions and results prove the effectiveness of avoiding the stall effect which improved the power generation.

Keywords: acoustic doppler current profiler; artificial neural network; back-to-back converter; oscillating water column; rotational speed control; stalling behavior; wave energy; wells turbine

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MDPI and ACS Style

M’zoughi, F.; Garrido, I.; Garrido, A.J.; De La Sen, M. Rotational Speed Control Using ANN-Based MPPT for OWC Based on Surface Elevation Measurements. Appl. Sci. 2020, 10, 8975. https://doi.org/10.3390/app10248975

AMA Style

M’zoughi F, Garrido I, Garrido AJ, De La Sen M. Rotational Speed Control Using ANN-Based MPPT for OWC Based on Surface Elevation Measurements. Applied Sciences. 2020; 10(24):8975. https://doi.org/10.3390/app10248975

Chicago/Turabian Style

M’zoughi, Fares, Izaskun Garrido, Aitor J. Garrido, and Manuel De La Sen. 2020. "Rotational Speed Control Using ANN-Based MPPT for OWC Based on Surface Elevation Measurements" Applied Sciences 10, no. 24: 8975. https://doi.org/10.3390/app10248975

APA Style

M’zoughi, F., Garrido, I., Garrido, A. J., & De La Sen, M. (2020). Rotational Speed Control Using ANN-Based MPPT for OWC Based on Surface Elevation Measurements. Applied Sciences, 10(24), 8975. https://doi.org/10.3390/app10248975

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

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Rotational Speed Control Using ANN-Based MPPT for OWC Based on Surface Elevation Measurements

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