NDLI: Design, Simulation and implementation of an adaptive controller on base of artificial neural networks for a resonant DC-DC converter

Content Provider	IEEE Xplore Digital Library
Author	Jafari, M. Malekjamshidi, Z.
Copyright Year	2011
Description	Author affiliation: Department of Electrical Engineering, Fasa branch, Islamic Azad University, Iran (Jafari, M.) \|\| Department of Electrical Engineering, Marvdasht branch, Islamic Azad University, Iran (Malekjamshidi, Z.)
Abstract	A new method of control for high-voltage Full Bridge Series-Parallel Resonant (FBSPR) DC-DC converter with capacitive output filter, using Artificial Neural Networks (ANN) is proposed in this paper. The output voltage regulation obtained via high switching frequency and Soft switching operation (ZCS and ZVS technologies) to decrease the losses and optimize the efficiency of converter. In the following sections, The small signal model of converter is used to simulate the dynamic behavior of real converter using Matlab software. It was also used to obtain ideal control signals which are the desired ANN inputs and outputs and were saved as a training data set. The data set is then used to train the ANN to mimic the behavior of the ideal controller. In fact the ANN controller is trained according to the small signal model of converter and the ideal operating points. To compare the performances of simulated and practical ANN controller, a prototype is designed and implemented and is tested for step changes in both output load and reference voltage. Comparison between experimental and simulations show a very good agreement and the reliability of ANN based controllers.
Starting Page	1043
Ending Page	1046
File Size	800790
Page Count	4
File Format	PDF
ISBN	9781612849997
ISSN	21645264
e-ISBN	9781457700019
e-ISBN	9781457700002
DOI	10.1109/PEDS.2011.6147388
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-05
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Mathematical model Voltage control Resonant frequency Zero voltage switching Equations Zero current switching ZCS Full Bridge Series-Parallel Resonant Converter Artificial Neural Networks ANN ZVS
Content Type	Text
Resource Type	Article

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