Simplified fuzzy logic and arduino-based controller for maximum power tracking in solar panel. Issue 1 (June 2020)

• Record Type: Journal Article
• Authors: Suherman, ; Fajri, Mufrihul; Harahap, Raja
• Is Part Of: IOP conference series. Volume 874:Issue 1(2020)
• Publication Date: 2020-06
• Subjects: Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/874/1/012037
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: Maximum power tracking for solar panel has been explored since long time ago for increasing solar panel output. Various methods have been implemented from combinational based algorithm to intelligent system, including the use of fuzzy logic. This paper demonstrates the implementation of fuzzy logic on the arduino microcontroller system. A maximum power tracking prototype is developed, and experimental assessments are conducted. Arduino uno is used for the microcontroller, small scale mechanic is developed driven by two electric motors, and 13V solar cell is used as the object. The assessments show that fuzzy logic algorithm is successfully implemented in arduino, the solar panel output is enhanced up to x% and the solar panel efficiency is up to x%.