Rotational Speed Control Using ANN-Based MPPT for OWC Based on Surface Elevation Measurements
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. T...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-12-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/24/8975 |
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| author | Fares M’zoughi Izaskun Garrido Aitor J. Garrido Manuel De La Sen |
| author_facet | Fares M’zoughi Izaskun Garrido Aitor J. Garrido Manuel De La Sen |
| author_sort | Fares M’zoughi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T14:01:52Z |
| format | Article |
| id | doaj.art-3b56db0cc71945f8b2c4e3dfe30a9da3 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T14:01:52Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-3b56db0cc71945f8b2c4e3dfe30a9da32023-11-21T01:02:02ZengMDPI AGApplied Sciences2076-34172020-12-011024897510.3390/app10248975Rotational Speed Control Using ANN-Based MPPT for OWC Based on Surface Elevation MeasurementsFares M’zoughi0Izaskun Garrido1Aitor J. Garrido2Manuel De La Sen3Automatic 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, SpainAutomatic 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, SpainAutomatic 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, SpainAutomatic 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, SpainThis 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.https://www.mdpi.com/2076-3417/10/24/8975acoustic doppler current profilerartificial neural networkback-to-back converteroscillating water columnrotational speed controlstalling behavior |
| spellingShingle | Fares M’zoughi Izaskun Garrido Aitor J. Garrido Manuel De La Sen Rotational Speed Control Using ANN-Based MPPT for OWC Based on Surface Elevation Measurements Applied Sciences acoustic doppler current profiler artificial neural network back-to-back converter oscillating water column rotational speed control stalling behavior |
| title | Rotational Speed Control Using ANN-Based MPPT for OWC Based on Surface Elevation Measurements |
| title_full | Rotational Speed Control Using ANN-Based MPPT for OWC Based on Surface Elevation Measurements |
| title_fullStr | Rotational Speed Control Using ANN-Based MPPT for OWC Based on Surface Elevation Measurements |
| title_full_unstemmed | Rotational Speed Control Using ANN-Based MPPT for OWC Based on Surface Elevation Measurements |
| title_short | Rotational Speed Control Using ANN-Based MPPT for OWC Based on Surface Elevation Measurements |
| title_sort | rotational speed control using ann based mppt for owc based on surface elevation measurements |
| topic | acoustic doppler current profiler artificial neural network back-to-back converter oscillating water column rotational speed control stalling behavior |
| url | https://www.mdpi.com/2076-3417/10/24/8975 |
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