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The Development of Sun-Tracking System Using Image Processing
This article presents the development of an image-based sun position sensor and the algorithm for how to aim at the Sun precisely by using image processing. Four-quadrant light sensors and bar-shadow photo sensors were used to detect the Sun's position in the past years. Nevertheless, neither o...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3690008/ https://www.ncbi.nlm.nih.gov/pubmed/23615582 http://dx.doi.org/10.3390/s130505448 |
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author | Lee, Cheng-Dar Huang, Hong-Cheng Yeh, Hong-Yih |
author_facet | Lee, Cheng-Dar Huang, Hong-Cheng Yeh, Hong-Yih |
author_sort | Lee, Cheng-Dar |
collection | PubMed |
description | This article presents the development of an image-based sun position sensor and the algorithm for how to aim at the Sun precisely by using image processing. Four-quadrant light sensors and bar-shadow photo sensors were used to detect the Sun's position in the past years. Nevertheless, neither of them can maintain high accuracy under low irradiation conditions. Using the image-based Sun position sensor with image processing can address this drawback. To verify the performance of the Sun-tracking system including an image-based Sun position sensor and a tracking controller with embedded image processing algorithm, we established a Sun image tracking platform and did the performance testing in the laboratory; the results show that the proposed Sun tracking system had the capability to overcome the problem of unstable tracking in cloudy weather and achieve a tracking accuracy of 0.04°. |
format | Online Article Text |
id | pubmed-3690008 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-36900082013-07-09 The Development of Sun-Tracking System Using Image Processing Lee, Cheng-Dar Huang, Hong-Cheng Yeh, Hong-Yih Sensors (Basel) Article This article presents the development of an image-based sun position sensor and the algorithm for how to aim at the Sun precisely by using image processing. Four-quadrant light sensors and bar-shadow photo sensors were used to detect the Sun's position in the past years. Nevertheless, neither of them can maintain high accuracy under low irradiation conditions. Using the image-based Sun position sensor with image processing can address this drawback. To verify the performance of the Sun-tracking system including an image-based Sun position sensor and a tracking controller with embedded image processing algorithm, we established a Sun image tracking platform and did the performance testing in the laboratory; the results show that the proposed Sun tracking system had the capability to overcome the problem of unstable tracking in cloudy weather and achieve a tracking accuracy of 0.04°. Molecular Diversity Preservation International (MDPI) 2013-04-24 /pmc/articles/PMC3690008/ /pubmed/23615582 http://dx.doi.org/10.3390/s130505448 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/ |
spellingShingle | Article Lee, Cheng-Dar Huang, Hong-Cheng Yeh, Hong-Yih The Development of Sun-Tracking System Using Image Processing |
title | The Development of Sun-Tracking System Using Image Processing |
title_full | The Development of Sun-Tracking System Using Image Processing |
title_fullStr | The Development of Sun-Tracking System Using Image Processing |
title_full_unstemmed | The Development of Sun-Tracking System Using Image Processing |
title_short | The Development of Sun-Tracking System Using Image Processing |
title_sort | development of sun-tracking system using image processing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3690008/ https://www.ncbi.nlm.nih.gov/pubmed/23615582 http://dx.doi.org/10.3390/s130505448 |
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