Design and simulation of model based controllers for quasi resonant converters using neural networks

Author

Arulselvi, S. ; Uma, G. ; Kalaranjini, B.

Author_Institution

Dept. of Instrum. Eng., Annamalai Univ., Chidambaram

fYear

2006

fDate

19-21 Dec. 2006

Firstpage

197

Lastpage

202

Abstract

In this paper, the feasibility of neural modeling and model-based controllers for a non-linear and time varying power converter are investigated. The neural models are developed using dynamic back propagation algorithm. This algorithm is applied to reproduce the dynamic behavior of multi-output flyback ZVS quasi-resonant converter. Based on the developed neural models, inverse control and internal model control (IMC) are developed and their performances are compared through simulation studies. The result reveals that the IMC produces better performance.

Keywords

backpropagation; control system synthesis; neurocontrollers; nonlinear control systems; resonant power convertors; switching convertors; time-varying systems; zero voltage switching; controller design; dynamic back propagation algorithm; flyback ZVS converter; internal model control; neural network; nonlinear power converter; quasi resonant converter; time varying power converter; zero voltage switching; Inverse problems; Mathematical model; Neural networks; Power electronics; Power system modeling; Resonance; Switches; Switching converters; Voltage control; Zero voltage switching; Generalized State Space Averaging (GSSA) technique; Internal Model Control (IMC); Neural Network (NN); Zero Voltage Switching Quasi Resonant Converter (ZVS-QRC);

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics, 2006. IICPE 2006. India International Conference on

Conference_Location

Chennai

Print_ISBN

978-1-4244-3450-3

Electronic_ISBN

978-1-4244-3451-0

Type

conf

DOI

10.1109/IICPE.2006.4685367

Filename

4685367