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Second IEEE International Workshop on Electronic Design, Test and Applications
Artificial Controlled Neural Network Emulator for Quasi Resonant Converter
Perth, Australia
January 28-January 30
ISBN: 0-7695-2081-2
ASCII Text
x 
 
U. Sabura Banu, G. Uma, M. A. Panneerselvam, "Artificial Controlled Neural Network Emulator for Quasi Resonant Converter," Electronic Design, Test and Applications, IEEE International Workshop on, pp. 301, Second IEEE International Workshop on Electronic Design, Test and Applications, 2004.
 
 
BibTex
x
 
@article{ 10.1109/DELTA.2004.10012,
author = {U. Sabura Banu and G. Uma and M. A. Panneerselvam},
title = {Artificial Controlled Neural Network Emulator for Quasi Resonant Converter},
journal ={Electronic Design, Test and Applications, IEEE International Workshop on},
volume = {0},
year = {2004},
isbn = {0-7695-2081-2},
pages = {301},
doi = {http://doi.ieeecomputersociety.org/10.1109/DELTA.2004.10012},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Electronic Design, Test and Applications, IEEE International Workshop on
TI - Artificial Controlled Neural Network Emulator for Quasi Resonant Converter
SN - 0-7695-2081-2
SP
EP
A1 - U. Sabura Banu,
A1 - G. Uma,
A1 - M. A. Panneerselvam,
PY - 2004
KW - null
VL - 0
JA - Electronic Design, Test and Applications, IEEE International Workshop on
ER -
 
U. Sabura Banu, Crescent Engg. College
G. Uma, Anna University
M. A. Panneerselvam, Jerusalem Engg. College
Conventional controller used for the converter needs piecewise linearization. Classical control methods employed to design the control circuits for Quasi Resonant Converters are very sensitive to parameter variation. In this paper a Fuzzy and Neural controlled approach is presented with a Neural Network Emulator for identification. The Neural Network Emulator reproduces the converter behavior accurately. The Artificial controller regulates the output voltage by changing the switching frequency. The Artificial controlled Emulator is simulated and the output voltage regulation for load variations and supply changes for the QRC is plotted. . The model obtained is readily absorbed by MATLAB for analysis and design of both the open- and closed- loop configurations in fast speed. The simulation results proved the feasibility of using artificial control in controlling switched mode power supplies.
Citation:
U. Sabura Banu, G. Uma, M. A. Panneerselvam, "Artificial Controlled Neural Network Emulator for Quasi Resonant Converter," delta, pp.301, Second IEEE International Workshop on Electronic Design, Test and Applications, 2004
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