Identification and control of resonant switch mode converters using neural networks

M.N. Eskander, B. Baha

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBN

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.
Original languageEnglish
Title of host publicationProceedings of the 27th Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE
Pages2099-2104
Number of pages6
ISBN (Print)0780371089
Publication statusPublished - 2001
EventProceedings of the 27th Annual Conference of the IEEE Industrial Electronics Society - Denver, CO, 29 Nov - 2 Dec, 2001
Duration: 1 Jan 2001 → …

Conference

ConferenceProceedings of the 27th Annual Conference of the IEEE Industrial Electronics Society
Period1/01/01 → …

Fingerprint Dive into the research topics of 'Identification and control of resonant switch mode converters using neural networks'. Together they form a unique fingerprint.

Cite this