Identification and control of resonant switch mode converters using neural networks

Eskander, M.N. and Baha, B. (2001) Identification and control of resonant switch mode converters using neural networks In: Proceedings of the 27th Annual Conference of the IEEE Industrial Electronics Society , Denver, CO, 29 Nov - 2 Dec, 2001.

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Abstract

Neural network (NNs) approach for controlling switching power converters has been investigated in this paper. Several NNs techniques including the Back propagation training algorithm, Back propagation with momentum, Back propagation with adaptive learning rate and the Back propagation with Levenberg Marquardt optimisation have been investigated and the most later method has been selected for identification and control of Quasi-Resonant Converters (QRCs). A neural network emulator is designed in this paper, which reproduce the converter dynamic behaviour with great accuracy. The NN controller is developed and applied to regulate the converter output voltage. Results obtained from the NNC proved the validity and fast dynamic response of the proposed controller.

Item Type: Contribution to conference proceedings in the public domain ( Full Paper)
Subjects: H000 Engineering > H600 Electrical and Electronic Engineering > H620 Electrical Engineering
Faculties: Faculty of Science and Engineering > School of Computing, Engineering and Mathematics > Engineering and Product Design Research
Depositing User: editor engineering
Date Deposited: 11 Mar 2010
Last Modified: 22 Oct 2014 09:34
URI: http://eprints.brighton.ac.uk/id/eprint/4503

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