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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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 languageEnglish
Title of host publicationIET Conference Proceedings
PublisherInstitution of Engineering and Technology
Number of pages5
ISBN (Electronic)9781839535222
Publication statusPublished - 2020
Event3rd Smart Cities Symposium, SCS 2020 - Virtual, Online
Duration: 21 Sept 202023 Sept 2020


Conference3rd Smart Cities Symposium, SCS 2020
CityVirtual, Online


  • control system
  • renewable energy
  • solar tracker
  • sun radiation


Dive into the research topics of 'Solar Panel Angle Position Correction using Light Sensor and Fuzzy Logic Control'. Together they form a unique fingerprint.

Cite this