Multiphase Buck Converters for Power Delivery Using Neural Network Control Scheme

Abstract

Multiphase buck converters is now-a-days the most trending and widely used voltage regulator for several power delivery requirements like latest high-power microprocessors, portable electronic devices, battery chargers, DC microgrids etc. It provides the advantages of reduced output ripple and faster transient response over a conventional single-phase converter which results in improved efficiency and better performance. This paper proposes an artificial neural network (ANN) controller implemented in multiphase buck regulator model. The proposed control technique uses a feed-forward back propagation algorithm of neural network to regulate the output voltage of the converter under steady-state operation. To ascertain the productivity, the proposed control scheme is designed with a three-phase interleaved buck regulator circuit using MATLAB/SIMULINK and the simulation results are shown.