An Effective Low Cost Implementation of Adaptive Fuzzy Logic Based Indirect MPPT Method Using ARDUINO DUE Board

Generally, the implementation of intelligent controllers based on fuzzy logic is done by using blocks from the Matlab/Simulink fuzzy logic library. Indeed, the use of these blocks makes the implementation of the algorithm in real-time very difficult and requires a powerful microcontroller. In this paper, we propose low-cost implementation of an intelligent indirect MPPT method based on a variable adaptive step fuzzy logic algorithm for an isolated photovoltaic (PV) system. The PV system is connected to the load via a DC-DC boost converter. The used microcontroller is an Arduino Due board. The dynamic and static performance of the proposed method is verified firstly by the processor in the loop (PIL) simulation. The various well-known stages of the fuzzy logic controller (fuzzification, knowledge base, and defuzzification) are encoded in the M-file script. The obtained simulation results proved the ability of the microcontroller to support the algorithm implementation in real-time with good time convergence and fewer power oscillations. The feasibility and effectiveness of the proposed low-cost MPPT implementation based on the ARDUINO DUE board have been verified experimentally, and the results clearly validate its capability in tracking the MPP with an average efficiency of 99.70%.