A neural network controller for a class of Phase-Shifted Full-Bridge DC-DC converter

DG-DC converters can be found in almost every power electronics device. To improve the controller response of a DGDC converter to dynamical system changes, neural network has been chosen as an alternative to classic methods. However, no prior work has been done in the neural network approach for control of a PSFB (Phase-Shifted Full-Bridge) converter yet. In this research, a multi-layer feed-forward neural network controller is proposed. The neural network based controller has the advantage of adaptive learning ability, and can work under the situation when the input voltage and load current fluctuate. The Levenberg-Marquardt back-propagation training algorithm is used in computer simulation and satisfactory results are obtained.