Artificial neural network based control of wind powered small scale DC generator

Brisk increase in the demand of hydrocarbon-based fuels to generate electricity is contaminating the environment, which is increasing the quest for pure and clean resources for electricity generation. Wind energy is one of the highly used renewable energy resources (RES) in the new millennium. Therefore, a lot of research efforts are conducted in the last few years concerning the forecasting, sizing, and control of wind energy (WE). However, the present body of knowledge is still lacking the robust and intelligent control of small-scale wind energy. Therefore, the current paper is presenting artificial neural networks (ANN) based intelligent control of permanent magnet DC generator (PMDC) followed by the DC/DC converter to provide the stable DC voltage at the output side. The simulation model comprises of a small-scale wind generator system of 10KW rating which is developed in MATLAB-Simulink, and it is observed that the proposed control method is resulting in a balanced and smooth DC output.