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The Development of Sun-Tracking System Using Image Processing
High Concentration Photovoltaic R&D Project, Institute of Nuclear Energy Research, Taoyuan 32546, Taiwan
* Author to whom correspondence should be addressed.
Received: 30 January 2013; in revised form: 17 April 2013 / Accepted: 17 April 2013 / Published: 24 April 2013
Abstract: 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°.
Keywords: image-based Sun position sensor; image processing; four-quadrant light sensor; bar-shadow photo sensor
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MDPI and ACS Style
Lee, C.-D.; Huang, H.-C.; Yeh, H.-Y. The Development of Sun-Tracking System Using Image Processing. Sensors 2013, 13, 5448-5459.
Lee C-D, Huang H-C, Yeh H-Y. The Development of Sun-Tracking System Using Image Processing. Sensors. 2013; 13(5):5448-5459.
Lee, Cheng-Dar; Huang, Hong-Cheng; Yeh, Hong-Yih. 2013. "The Development of Sun-Tracking System Using Image Processing." Sensors 13, no. 5: 5448-5459.