Recommended Citation
Published in Proceedings of the 2007 International Joint Conference on Neural Networks, August 1, 2007, pages 2010-2014. Copyright © 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. The definitive version is available online at: http://dx.doi.org/10.1109/IJCNN.2007.4371267.
Abstract
In this research, a self-tuning controller based on multi-layer feed-forward neural network is developed for real-time output voltage regulation of a class of DC power supplies. The neural network based controller has the advantage of adaptive learning ability, and can work under the situations when the input voltage and load current fluctuate. Levenberg-Marquardt back-propagation training algorithm is used in computer simulation. The neural network controller is implemented and tested on hardware using a DSP (digital signal processor). Experimental results show that this neural network based approach outperforms the conventional analog controller, in terms of both line regulation and load regulation.
Disciplines
Electrical and Computer Engineering
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URL: http://digitalcommons.calpoly.edu/eeng_fac/107