Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
408845 | Neurocomputing | 2009 | 5 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Xiao-Hua Yu, Weiming Li, Taufik,