Dual-axis solar tracking system based on fuzzy logic control and Light Dependent Resistors as feedback path elements

The power generated by solar panels is mainly influenced by the intensity of solar irradiance. This project utilized dual-axis solar tracking based on light intensity comparison with a fuzzy logic intelligent method. The hardware system consists of an Arduino UNO microcontroller as the main controller and four Light Dependent Resistor (LDR) sensors for sensing the maximum incident intensity of solar irradiance. Initially, two power window motors (one for the horizontal axis and the other for the vertical axis) coordinate and alternately rotate to scan the position of the sun. The mechanism of each axis movement is based on a power window motor which is controlled by a fuzzy logic controller system that moves according to the inputs received from the LDR sensors. The fuzzy logic controller helps the microcontroller to give the best inference concerning the direction to which the solar PV panel should rotate and the position in which it should stay. In conclusion, the solar tracking system delivers high efficiency of output power with a low power intake while it operates.