Fuzzy logic controller application for an active two-axis solar tracking system
The changes in the intensity of solar radiation cause the electrical power produced by solar panels to be not optimal. The solar panel position control system to the position of the solar is an effort to overcome this problem. There are four Light Dependent Resistor (LDR) sensors placed on the s...
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2020
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my.iium.irep.879082021-01-19T03:37:10Z http://irep.iium.edu.my/87908/ Fuzzy logic controller application for an active two-axis solar tracking system Imron, Chairul Abadi, Imam Brillianti, Nurika Asy’ari, Muhammad Khamim Ahmad Nor, Yusilawati Uyun, Aep Saepul T Technology (General) The changes in the intensity of solar radiation cause the electrical power produced by solar panels to be not optimal. The solar panel position control system to the position of the solar is an effort to overcome this problem. There are four Light Dependent Resistor (LDR) sensors placed on the sides of the four cardinal directions. The difference in the intensity of solar radiation received by each sensor causes the position of the solar panel to turn perpendicular to the position of the solar. The control method used is fuzzy logic control with three membership functions. The controlled variables are pitch angle and yaw angle in an active two-axis solar tracking system. Input fuzzy logic control is an error, and output is PWM. The results of the performance of the pitch angle control system produce settling time for 10 s and error steady-state obtained by 0.080 %, while for the yaw angle control system produces settling time for 13 s and steady-state error is obtained at 0.038 %. The existence of a control system resulted in an increase in the percentage of power above 30 % with a power difference of 7.49 W to a fixed panel. EDP Sciences 2020-09-23 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/87908/1/87908_Fuzzy%20Logic%20Controller%20Application.pdf application/pdf en http://irep.iium.edu.my/87908/2/87908_Fuzzy%20Logic%20Controller%20Application%20SCOPUS.pdf Imron, Chairul and Abadi, Imam and Brillianti, Nurika and Asy’ari, Muhammad Khamim and Ahmad Nor, Yusilawati and Uyun, Aep Saepul (2020) Fuzzy logic controller application for an active two-axis solar tracking system. In: 1st International Conference on Renewable Energy Research and Challenge (ICoRER 2019), 12th-13th November 2019, Banyuwangi, Indonesia. https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/50/e3sconf_icorer2020_00004.pdf 10.1051/e3sconf/202019000004 |
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T Technology (General) Imron, Chairul Abadi, Imam Brillianti, Nurika Asy’ari, Muhammad Khamim Ahmad Nor, Yusilawati Uyun, Aep Saepul Fuzzy logic controller application for an active two-axis solar tracking system |
description |
The changes in the intensity of solar radiation cause the
electrical power produced by solar panels to be not optimal. The solar
panel position control system to the position of the solar is an effort to
overcome this problem. There are four Light Dependent Resistor (LDR)
sensors placed on the sides of the four cardinal directions. The difference
in the intensity of solar radiation received by each sensor causes the
position of the solar panel to turn perpendicular to the position of the solar.
The control method used is fuzzy logic control with three membership
functions. The controlled variables are pitch angle and yaw angle in an
active two-axis solar tracking system. Input fuzzy logic control is an error,
and output is PWM. The results of the performance of the pitch angle
control system produce settling time for 10 s and error steady-state
obtained by 0.080 %, while for the yaw angle control system produces
settling time for 13 s and steady-state error is obtained at 0.038 %. The
existence of a control system resulted in an increase in the percentage of
power above 30 % with a power difference of 7.49 W to a fixed panel. |
format |
Conference or Workshop Item |
author |
Imron, Chairul Abadi, Imam Brillianti, Nurika Asy’ari, Muhammad Khamim Ahmad Nor, Yusilawati Uyun, Aep Saepul |
author_facet |
Imron, Chairul Abadi, Imam Brillianti, Nurika Asy’ari, Muhammad Khamim Ahmad Nor, Yusilawati Uyun, Aep Saepul |
author_sort |
Imron, Chairul |
title |
Fuzzy logic controller application for an active two-axis solar tracking system |
title_short |
Fuzzy logic controller application for an active two-axis solar tracking system |
title_full |
Fuzzy logic controller application for an active two-axis solar tracking system |
title_fullStr |
Fuzzy logic controller application for an active two-axis solar tracking system |
title_full_unstemmed |
Fuzzy logic controller application for an active two-axis solar tracking system |
title_sort |
fuzzy logic controller application for an active two-axis solar tracking system |
publisher |
EDP Sciences |
publishDate |
2020 |
url |
http://irep.iium.edu.my/87908/1/87908_Fuzzy%20Logic%20Controller%20Application.pdf http://irep.iium.edu.my/87908/2/87908_Fuzzy%20Logic%20Controller%20Application%20SCOPUS.pdf http://irep.iium.edu.my/87908/ https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/50/e3sconf_icorer2020_00004.pdf |
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1690370778839646208 |
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13.160551 |