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Article
Design and Implementation of a Neural Network Controller for Real-Time Adaptive Voltage Regulation
Neurocomputing
  • Xiao-Hua Yu, California Polytechnic State University - San Luis Obispo
  • Weiming Li, California Polytechnic State University - San Luis Obispo
  • N. F. N. Taufik, California Polytechnic State University - San Luis Obispo
Publication Date
12-1-2009
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.

Citation Information
Xiao-Hua Yu, Weiming Li and N. F. N. Taufik. "Design and Implementation of a Neural Network Controller for Real-Time Adaptive Voltage Regulation" Neurocomputing Vol. 73 Iss. 1-3 (2009) p. 531 - 535
Available at: http://works.bepress.com/taufik/2/