An Adaptive Control Algorithm for Maximum Power Point Tracking for Photovoltaic Energy Conversion Systems - A Comparative Study
Résumé
This paper presents intelligent methods for the
purpose of Maximum Power Point Tracking (MPPT). One is based on a Fuzzy Logic Controller (FLC) and the second is based on an Artificial Neural Network (ANN); they are applied to a converter circuit. The fuzziness determines the size of the perturbed voltage when there are rapid changes of the solar irradiation. A control scheme is presented which allows better control of the converter current reference using voltage and current from the PV system as inputs to the MPPT perturb and observes method. A new approach is also proposed to carry out the model of the photovoltaic array and to predict the maximum power point with an artificial neural network.