Fuzzy logic controller application for an active two-axis solar tracking system

• Main Authors: Imron, Chairul, Abadi, Imam, Brillianti, Nurika, Asy’ari, Muhammad Khamim, Ahmad Nor, Yusilawati, Uyun, Aep Saepul
• Format: Conference or Workshop Item
• Language: English; English
• Published: EDP Sciences 2020
• Subjects: T Technology (General)
• Online Access: http://irep.iium.edu.my/87908/1/87908_Fuzzy%20Logic%20Controller%20Application.pdf; http://irep.iium.edu.my/87908/2/87908_Fuzzy%20Logic%20Controller%20Application%20SCOPUS.pdf; http://irep.iium.edu.my/87908/; https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/50/e3sconf_icorer2020_00004.pdf

The changes in the intensity of solar radiation cause the electrical power produced by solar panels to be not optimal. The solar panel position control system to the position of the solar is an effort to overcome this problem. There are four Light Dependent Resistor (LDR) sensors placed on the sides of the four cardinal directions. The difference in the intensity of solar radiation received by each sensor causes the position of the solar panel to turn perpendicular to the position of the solar. The control method used is fuzzy logic control with three membership functions. The controlled variables are pitch angle and yaw angle in an active two-axis solar tracking system. Input fuzzy logic control is an error, and output is PWM. The results of the performance of the pitch angle control system produce settling time for 10 s and error steady-state obtained by 0.080 %, while for the yaw angle control system produces settling time for 13 s and steady-state error is obtained at 0.038 %. The existence of a control system resulted in an increase in the percentage of power above 30 % with a power difference of 7.49 W to a fixed panel.