Solar Panel Angle Position Correction using Light Sensor and Fuzzy Logic Control

M. Ikhwan; C. Imron; W. D. Safitri; S. Rusdiana

doi:10.1049/icp.2021.0935

Solar Panel Angle Position Correction using Light Sensor and Fuzzy Logic Control

M. Ikhwan, Mardlijah^*, C. Imron, W. D. Safitri, S. Rusdiana

^*Corresponding author for this work

Laboratory of Mathematical Modeling and System Simulation

Universitas Syiah Kuala

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	IET Conference Proceedings
Publisher	Institution of Engineering and Technology
Pages	646-650
Number of pages	5
Volume	2020
Edition	6
ISBN (Electronic)	9781839535222
DOIs	https://doi.org/10.1049/icp.2021.0935
Publication status	Published - 2020
Event	3rd Smart Cities Symposium, SCS 2020 - Virtual, Online Duration: 21 Sept 2020 → 23 Sept 2020

Conference

Conference	3rd Smart Cities Symposium, SCS 2020
City	Virtual, Online
Period	21/09/20 → 23/09/20

Keywords

control system
renewable energy
solar tracker
sun radiation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1049/icp.2021.0935

Cite this

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title = "Solar Panel Angle Position Correction using Light Sensor and Fuzzy Logic Control",

abstract = "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.",

keywords = "control system, renewable energy, solar tracker, sun radiation",

author = "M. Ikhwan and Mardlijah and C. Imron and Safitri, {W. D.} and S. Rusdiana",

note = "Publisher Copyright: {\textcopyright} 2020 The Institution of Engineering and Technology.; 3rd Smart Cities Symposium, SCS 2020 ; Conference date: 21-09-2020 Through 23-09-2020",

year = "2020",

doi = "10.1049/icp.2021.0935",

language = "English",

volume = "2020",

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publisher = "Institution of Engineering and Technology",

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AU - Ikhwan, M.

AU - Mardlijah,

AU - Imron, C.

AU - Safitri, W. D.

AU - Rusdiana, S.

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - control system

KW - renewable energy

KW - solar tracker

KW - sun radiation

UR - http://www.scopus.com/inward/record.url?scp=85174645984&partnerID=8YFLogxK

U2 - 10.1049/icp.2021.0935

DO - 10.1049/icp.2021.0935

M3 - Conference contribution

AN - SCOPUS:85174645984

VL - 2020

SP - 646

EP - 650

BT - IET Conference Proceedings

PB - Institution of Engineering and Technology

T2 - 3rd Smart Cities Symposium, SCS 2020

Y2 - 21 September 2020 through 23 September 2020

ER -

Solar Panel Angle Position Correction using Light Sensor and Fuzzy Logic Control

Abstract

Conference

Keywords

UN SDGs

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