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Fuzzy Regulator Design for Wind Turbine Yaw Control
This paper proposes the development of an advanced fuzzy logic controller which aims to perform intelligent automatic control of the yaw movement of wind turbines. The specific fuzzy controller takes into account both the wind velocity and the acceptable yaw error correlation in order to achieve max...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3944370/ https://www.ncbi.nlm.nih.gov/pubmed/24693237 http://dx.doi.org/10.1155/2014/516394 |
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author | Theodoropoulos, Stefanos Kandris, Dionisis Samarakou, Maria Koulouras, Grigorios |
author_facet | Theodoropoulos, Stefanos Kandris, Dionisis Samarakou, Maria Koulouras, Grigorios |
author_sort | Theodoropoulos, Stefanos |
collection | PubMed |
description | This paper proposes the development of an advanced fuzzy logic controller which aims to perform intelligent automatic control of the yaw movement of wind turbines. The specific fuzzy controller takes into account both the wind velocity and the acceptable yaw error correlation in order to achieve maximum performance efficacy. In this way, the proposed yaw control system is remarkably adaptive to the existing conditions. In this way, the wind turbine is enabled to retain its power output close to its nominal value and at the same time preserve its yaw system from pointless movement. Thorough simulation tests evaluate the proposed system effectiveness. |
format | Online Article Text |
id | pubmed-3944370 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-39443702014-04-01 Fuzzy Regulator Design for Wind Turbine Yaw Control Theodoropoulos, Stefanos Kandris, Dionisis Samarakou, Maria Koulouras, Grigorios ScientificWorldJournal Research Article This paper proposes the development of an advanced fuzzy logic controller which aims to perform intelligent automatic control of the yaw movement of wind turbines. The specific fuzzy controller takes into account both the wind velocity and the acceptable yaw error correlation in order to achieve maximum performance efficacy. In this way, the proposed yaw control system is remarkably adaptive to the existing conditions. In this way, the wind turbine is enabled to retain its power output close to its nominal value and at the same time preserve its yaw system from pointless movement. Thorough simulation tests evaluate the proposed system effectiveness. Hindawi Publishing Corporation 2014-02-11 /pmc/articles/PMC3944370/ /pubmed/24693237 http://dx.doi.org/10.1155/2014/516394 Text en Copyright © 2014 Stefanos Theodoropoulos et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Theodoropoulos, Stefanos Kandris, Dionisis Samarakou, Maria Koulouras, Grigorios Fuzzy Regulator Design for Wind Turbine Yaw Control |
title | Fuzzy Regulator Design for Wind Turbine Yaw Control |
title_full | Fuzzy Regulator Design for Wind Turbine Yaw Control |
title_fullStr | Fuzzy Regulator Design for Wind Turbine Yaw Control |
title_full_unstemmed | Fuzzy Regulator Design for Wind Turbine Yaw Control |
title_short | Fuzzy Regulator Design for Wind Turbine Yaw Control |
title_sort | fuzzy regulator design for wind turbine yaw control |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3944370/ https://www.ncbi.nlm.nih.gov/pubmed/24693237 http://dx.doi.org/10.1155/2014/516394 |
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