Identification and control of resonant switch mode converters using neural networks

M.N. Eskander; B. Baha

Identification and control of resonant switch mode converters using neural networks

M.N. Eskander, B. Baha

University of Brighton

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

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 language	English
Title of host publication	Proceedings of the 27th Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE
Pages	2099-2104
Number of pages	6
ISBN (Print)	0780371089
Publication status	Published - 2001
Event	Proceedings of the 27th Annual Conference of the IEEE Industrial Electronics Society - Denver, CO, 29 Nov - 2 Dec, 2001 Duration: 1 Jan 2001 → …

Conference

Conference	Proceedings of the 27th Annual Conference of the IEEE Industrial Electronics Society
Period	1/01/01 → …

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Eskander, M. N., & 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 (pp. 2099-2104). IEEE. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=975616&contentType=Conference+Publications&sortType%3Dasc_p_Sequence%26filter%3DAND(p_IS_Number%3A21043)%26pageNumber%3D2%26rowsPerPage%3D100

@inproceedings{7cea3fe056d0406c9d33e541aed5e79c,

title = "Identification and control of resonant switch mode converters using neural networks",

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.",

author = "M.N. Eskander and B. Baha",

year = "2001",

language = "English",

isbn = "0780371089",

pages = "2099--2104",

booktitle = "Proceedings of the 27th Annual Conference of the IEEE Industrial Electronics Society",

publisher = "IEEE",

note = "Proceedings of the 27th Annual Conference of the IEEE Industrial Electronics Society ; Conference date: 01-01-2001",

}

Eskander, MN & 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. IEEE, pp. 2099-2104, Proceedings of the 27th Annual Conference of the IEEE Industrial Electronics Society, 1/01/01. <http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=975616&contentType=Conference+Publications&sortType%3Dasc_p_Sequence%26filter%3DAND(p_IS_Number%3A21043)%26pageNumber%3D2%26rowsPerPage%3D100>

TY - GEN

T1 - Identification and control of resonant switch mode converters using neural networks

AU - Eskander, M.N.

AU - Baha, B.

PY - 2001

Y1 - 2001

N2 - 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.

AB - 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.

M3 - Conference contribution with ISSN or ISBN

SN - 0780371089

SP - 2099

EP - 2104

BT - Proceedings of the 27th Annual Conference of the IEEE Industrial Electronics Society

PB - IEEE

T2 - Proceedings of the 27th Annual Conference of the IEEE Industrial Electronics Society

Y2 - 1 January 2001

ER -

Identification and control of resonant switch mode converters using neural networks

Abstract

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