Editorial Unimagdalena

Description in English: This work contains many years of these authors' experience in developing intelligent controllers based on neural networks and fuzzy logic for monitoring the maximum power point of photovoltaic systems. Understanding the importance of intelligent control techniques and their application to practical problems, the authors showcase the basic concepts of implemented controllers and their design process throughout the book. These controllers were evaluated in photovoltaic systems isolated from the electrical grid, using MATLAB as a modeling and simulation tool. First, the mathematical modeling of the photovoltaic module used for various simulation scenarios is presented, followed by the design and modeling for DC-DC converters necessary to transfer the energy generated by the photovoltaic module to a charge. It exposes design, flowcharts, and modeling for fuzzy and dynamic neural controllers with different training algorithms. Results prove this work’s relevance, considering improvements obtained with intelligent controllers in aspects such as settling time, maximum power point monitoring, oscillation reduction, efficiency, and power supplied to the charge.