Design and Implementation of a Neural Network Controller for Real-Time Adaptive Voltage Regulation
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.
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 73.1-3 (2009): 531-535.
Available at: http://works.bepress.com/taufik/2