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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...

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Detalles Bibliográficos
Autores principales: Lee, Cheng-Dar, Huang, Hong-Cheng, Yeh, Hong-Yih
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2013
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°.
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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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