TY - GEN
T1 - A self-focus high precision scheme applied to HCPV solar center tracker
AU - Lin, Yiing Yuh
AU - Jhuang, Fu Mao
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - An image processor with a self-focus scheme to estimate the center of the solar disc is presented in this chapter. It can be utilized in the automatic tracking module on a HCPV power generation unit to closely follow the solar center with high precision under various weather conditions. To start the proposed procedures, a photo containing the solar image is taken first by a digital sensing device. Then, it is sent to the algorithm and goes through a series of steps to identify and to isolate the solar image. Finally, the solar center is located by the three-point center method. The proposed scheme, based on a weighted brightness factor of the image, evaluates the image center by comparing the estimated solar diameter to the reference one and iteratively modifies the thresholds in the image isolation step. The results show total processing time can be a fraction of a second and the estimation accuracy reaches to less than an arc second, depending on the pixels in the taken photo.
AB - An image processor with a self-focus scheme to estimate the center of the solar disc is presented in this chapter. It can be utilized in the automatic tracking module on a HCPV power generation unit to closely follow the solar center with high precision under various weather conditions. To start the proposed procedures, a photo containing the solar image is taken first by a digital sensing device. Then, it is sent to the algorithm and goes through a series of steps to identify and to isolate the solar image. Finally, the solar center is located by the three-point center method. The proposed scheme, based on a weighted brightness factor of the image, evaluates the image center by comparing the estimated solar diameter to the reference one and iteratively modifies the thresholds in the image isolation step. The results show total processing time can be a fraction of a second and the estimation accuracy reaches to less than an arc second, depending on the pixels in the taken photo.
UR - http://www.scopus.com/inward/record.url?scp=84952036988&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84952036988&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-17314-6_56
DO - 10.1007/978-3-319-17314-6_56
M3 - Conference contribution
AN - SCOPUS:84952036988
SN - 9783319173139
T3 - Lecture Notes in Electrical Engineering
SP - 437
EP - 443
BT - Proceedings of the 3rd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2014
A2 - Juang, Jengnan
PB - Springer Verlag
T2 - 3rd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2014
Y2 - 19 December 2014 through 21 December 2014
ER -