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Neural control and transient analysis of the LCL-type resonant converter

Published online by Cambridge University Press:  15 July 2000

S. Zouggar
Affiliation:
University Mohammed 1er, École Supérieure de Technologie, Oujda Hay EL QODS, Complexe Universitaire, BP 473, 60000 Oujda, Morocco
H. Nait Charif
Affiliation:
Computer & Electrical Engineering department, College of Engineering Michigan State University, USA
M. Azizi
Affiliation:
University Mohammed 1er, École Supérieure de Technologie, Oujda Hay EL QODS, Complexe Universitaire, BP 473, 60000 Oujda, Morocco
Corresponding
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Abstract

This paper proposes a generalised inverse learning structure to control the LCL converter. A feedforward neural network is trained to act as an inverse model of the LCL converter then both are cascaded such that the composed system results in an identity mapping between desired response and the LCL output voltage. Using the large signal model, we analyse the transient output response of the controlled LCL converter in the case of large variation of the load. The simulation results show the efficiency of using neural networks to regulate the LCL converter.

Keywords

Type
Research Article
Copyright
© EDP Sciences, 2000

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References

Kh. Louati, D. Sadarnac, Analysis of resonant Converter with LCL-type Commutation, EPE'93, pp. 141-147.
Kh. Louati, W. Abida, D. Sadarnac, Analysis of the LCL-Resonant Converter Operating Above Resonance, EPE'95, pp. 2.839-2.844.
H. Azzam, G. Bornard, S. Bacha, M. Brunello, Definition and Application of a non-linear control law for series resonant converters, PESC'92, pp. 793-799.
S. Zouggaar, H. Nait Charif, G. Rojar, M. Azizi, Dynamic Analysis and Control Design of the LCL-Type Resonant Converter, EPE'99, 7-9 September 1999.
K.J. Hunt et al., Neural networks for control system - a survey, Automatica (Pergamon Press Ltd, 1992), pp. 1083- 1112.
R.P. Lippmam, An Introduction to Computing with Neural Net, IEEE ASSP Magazine, April 1987, pp. 4-22.
Agrawal, V., Bhat, A.K.S., IEEE Trans. Power Electron. 10, 222 (1995). CrossRef
K. Funabashi, On the approximate realization of continuous mappings by neural networks, Neural Networks (Pergamon Press Ltd, Oxford, England, 1989), Vol. 2, pp. 183-192.
N.C. Hammadi, H. Ito, IEICE Trans. Information & Systems E80-D, 21 (1997).
N.C. Hammadi, Design of Fault Tolerant Feedforward Neural Networks, Ph.D. thesis, Graduate School of Science and Technology Chiba University, March 1998.

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