A Novel Neural Network Based Control Method with Adaptive On-Line Training for DC-DC Converters

Abstract

This study presents a novel adaptive control based on a neural network for dc - dc converters. The control method is required to adapt to changes of conditions to obtain high performance dc-dc converters. In this study, the neural network control is adopted to improve the transient response of dc-dc converters. It woks in coordination with a conventional PID control to realize a high adaptive method. The neural network is trained with data which is obtained on-line. Therefore, the neural network control can adapt dynamically to change of input. The adaptation is realized by the modification of the reference in the PID control. The effect of the presented method is confirmed in simulations. Results show the presented method contributes to realize such adaptive control.