Design of Fuzzy Logic Controller for Maximum Power Tracking of PV Systems with Its Economical Configurable Implementation on Arduino

this paper introduces a complete design of a fuzzy controller for MPPT in PV systems. The proposed controller is simulated in Simulink to prove the superior performance of the proposed fuzzy controller over the traditional perturb and observe algorithm. The simulation results show that the fuzzy controller has faster response and higher efficiency than perturb and observe controller. Hardware implementation of the proposed fuzzy controller is introduced. In this implementation low cost Arduino Uno controllers are used to implement the proposed controller. A complete hardware setup is introduced. A simple Arduino code software is written to control the Kit to perform the MPPT task. The hardware equipment consists of a power supply, Arduino kit, boost converter kit, resistor loads, current sensor, and voltage regulator board. A hardware test is performed in the lab to prove that the proposed fuzzy controller is working properly and tracking the maximum power as expected.