Recommended Citation
Postprint version. Published in Neurocomputing, Volume 73, Issue 1-3, December 1, 2009, pages 531-535.
The definitive version is available at https://doi.org/10.1016/j.neucom.2009.09.008.
Abstract
An adaptive controller based on multi-layer feed-forward neural network is developed for real-time voltage regulation of a class of PSFB (phase-shifted full-bridge) DC–DC converters. The controller has the unique advantages of nonlinear mapping and adaptive learning, and performs well over a wide range of input voltages and output load currents. The controller is implemented and tested in hardware using a DSP (digital signal processor) board. Experimental results show that it outperforms conventional controllers in both line regulation and load regulation.
Disciplines
Electrical and Computer Engineering
Copyright
2009 Elsevier.
URL: https://digitalcommons.calpoly.edu/eeng_fac/177