Fuzzy control to maximize the performance of a two-degree-of-freedom photovoltaic solar tracker

Introduction: The need to reduce global warming is increasing every day and is a priority for the governments of our people and for organizations that support the environment, which is why it is proposed to contribute to increasing the performance of photovoltaic solar systems, using emerging technologies. Methods: For this work, control techniques are used through intelligent computing, more specifically a fuzzy control system for the search for the maximum power point in a photovoltaic solar tracker. Results: As a result, a fuzzy controller was designed and implemented that allows obtaining the point of maximum solar efficiency at any time during the day. The solar tracker is oriented at the maximum power point (MPPT) at each instant in time, thus increasing energy production and reducing system losses due to the orientation of the PV panel. Conclusions: The use of computational intelligence techniques such as fuzzy logic allows for an increase in the performance of photovoltaic solar tracking systems, which was verified by implementing a programmed fuzzy controller in an embedded system