Solar panel angle position correction using light sensor and fuzzy logic control
Solar panel angle position correction using light sensor and fuzzy logic control
- Author(s): M. Ikhwan 1 ; Mardlijah 2 ; C. Imron 3 ; W. D. Safitri 4 ; S. Rusdiana 4
- DOI: 10.1049/icp.2021.0935
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- Author(s): M. Ikhwan 1 ; Mardlijah 2 ; C. Imron 3 ; W. D. Safitri 4 ; S. Rusdiana 4
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View affiliations
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Affiliations:
1:
Graduate School of Mathematics and Applied Science , Universitas Syiah Kuala , Indonesia ;
2: Department of Mathematics , Institut Teknologi Sepuluh Nopember , Indonesia ;
3: Survey and Policy Analysis Research Group (SPARG) , Universitas Syiah Kuala , Indonesia ;
4: Department of Mathematics , Universitas Syiah Kuala , Indonesia
Source:
3rd Smart Cities Symposium (SCS 2020),
2021
p.
646 – 650
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Affiliations:
1:
Graduate School of Mathematics and Applied Science , Universitas Syiah Kuala , Indonesia ;
- Conference: 3rd Smart Cities Symposium (SCS 2020)
- DOI: 10.1049/icp.2021.0935
- ISBN: 978-1-83953-522-2
- Location: Online Conference
- Conference date: 21-23 September 2020
- Format: PDF
The development of solar energy technology seeks to improve the efficiency of solar panels by paying attention to the position of the sun. This study uses Fuzzy Logic Control (FLC) which is applied to a passive, active control system for solar tracking two axes. The FLC controller uses a light sensor as a reference to determine the value of the control variable so that it can eliminate the uncertainty factor in the control system. Active tracker using Fuzzy Logic Control is also able to track the sun's angles with reasonable accuracy.
Inspec keywords: position control; solar cell arrays; optical sensors; fuzzy control
Subjects: Photoelectric conversion; solar cells and arrays; Fuzzy control; Spatial variables control; Control of optical systems; Solar cells and arrays