Design of Iintelligent Solar Tracking System by using FLC Sugeno Inference Style

Solar energy is one of the most important sources of renewable and clean energy, so photovoltaic systems have been used in order to convert solar energy into electrical energy. In this paper, a smart dual-axis solar tracking system is proposed and designed based on the fuzzy logic controller (FLC) Sugeno inference style. Using MATLAB/Simulink simulation to design the fuzzy logic algorithm. The system consists of basic parts which are the Arduino microcontroller, two-DC motors and four LDR sensors. The work was tasted indoor with a light tracking response experiment, where the result showed high reliable performance of the tracking system and it was found a quick to respond, smooth movement and low error percent in LDR sensors calibration.