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 t
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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