Optimization of the Knowledge Base of an F.L.C. Implementing Applied Learning Techniques in the Maximum Power Point Tracking

Abstract

The most widespread application of fuzzy logic is found in expert fuzzy control systems based on rules known as FLC (Fuzzy Logic Controllers). These systems are widely used in the control of different systems because a suitable design allows speed, precision and flexibility in control. The next work shows the development of the knowledge base of an FLC system implemented to control a converter DC-DC that allows the search of the maximum power point of an installation with photovoltaic panels. Starting off From an FLC control previously developed and exposed in previous works, it is shown how the application of the supervised learning method allows to optimize the convergence speed of the system to the point of maximum power.