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International Journal of Innovation and Scientific Research
ISSN: 2351-8014
 
 
Friday 29 March 2024

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Single Axis Automatic Sun Tracking System based on Fuzzy Logic Control


Volume 21, Issue 2, April 2016, Pages 238–248

 Single Axis Automatic Sun Tracking System based on Fuzzy Logic Control

G. Sundar1 and D. Sathish2

1 Department of Electrical and Electronics Engineering, Arulmigu Meenakshi Amman College of Engineering, Kanchipuram, Tamil Nadu, India
2 Department of Electrical and Electronics Engineering, Arulmigu Meenakshi Amman College of Engineering, Kanchipuram, Tamil Nadu, India

Original language: English

Copyright © 2016 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


This paper proposes a single stage current source inverter based photovoltaic system with single axis automatic sun tracking system. The system consists of transformer less single stage conversion for tracking the maximum power point which is maintained by a fuzzy logic controller. The Hardware system presents the fuzzy logic control based sun tracking system using an Arduino controller. To improve the power quality and system efficiency, a double-tuned parallel resonant circuit is added to eliminate the 2nd and 4th order harmonics at the inverter side. A Stepper motor aids in tracking the sun axis and keeps the panel in line direction with sun all day long. The efficiency of the solar cells has been enhanced by the proposed design system. The proposed fuzzy logic controller has been implemented and tested using MATLAB Simulink environment. Moreover, the said sun tracking power generation system has been tested in real time using an Arduino controller.

Author Keywords: Maximum power point tracking, Arduino controller, Fuzzy logic controller, Power quality.


How to Cite this Article


G. Sundar and D. Sathish, “Single Axis Automatic Sun Tracking System based on Fuzzy Logic Control,” International Journal of Innovation and Scientific Research, vol. 21, no. 2, pp. 238–248, April 2016.