Letters: Design and implementation of a neural network controller for real-time adaptive voltage regulation

Authors:
Xiao-Hua Yu;Weiming Li; Taufik
Affiliations:
Department of Electrical Engineering, California Polytechnic State University, San Luis Obispo, CA 93407, USA;Department of Electrical Engineering, California Polytechnic State University, San Luis Obispo, CA 93407, USA;Department of Electrical Engineering, California Polytechnic State University, San Luis Obispo, CA 93407, USA
Venue:
Neurocomputing
Year:
2009

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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.