Presentation 2013-01-16
Implementation of a neural network for FPGA-based digital DC-DC converters
Yoshihiko YAMABE, Masashi MOTOMURA, Kentaro YAMASHITA, Hidenori MARUTA, Yuichiro SHIBATA, Kiyoshi OGURI, Fujio KUROKAWA,
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Abstract(in English) In this paper, we present implementation and evaluation of an FPGA-based neural network for controlling DC-DC converters. Experimantal results showed dynamic characteristics of a DC-DC converter are improved by 48 % in convergence time using an offlme-trained neural network. In addition, simulation results showed that an online-trained neural network can further improve the control accuracy. Our design occupies only 19% of available resources of a moderate-sized FPGA, suggesting a possibility of a combined approach of newural networks and other control methods.
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Keyword(in English) FPGA / switching power supply / Neural Network / DC-DC converter
Paper # VLD2012-112,CPSY2012-61,RECONF2012-66
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Committee RECONF
Conference Date 2013/1/9(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Implementation of a neural network for FPGA-based digital DC-DC converters
Sub Title (in English)
Keyword(1) FPGA
Keyword(2) switching power supply
Keyword(3) Neural Network
Keyword(4) DC-DC converter
1st Author's Name Yoshihiko YAMABE
1st Author's Affiliation Graduate School of Engineering, Nagasaki University()
2nd Author's Name Masashi MOTOMURA
2nd Author's Affiliation Graduate School of Engineering, Nagasaki University
3rd Author's Name Kentaro YAMASHITA
3rd Author's Affiliation Graduate School of Engineering, Nagasaki University
4th Author's Name Hidenori MARUTA
4th Author's Affiliation Graduate School of Engineering, Nagasaki University
5th Author's Name Yuichiro SHIBATA
5th Author's Affiliation Graduate School of Engineering, Nagasaki University
6th Author's Name Kiyoshi OGURI
6th Author's Affiliation Graduate School of Engineering, Nagasaki University
7th Author's Name Fujio KUROKAWA
7th Author's Affiliation Graduate School of Engineering, Nagasaki University
Date 2013-01-16
Paper # VLD2012-112,CPSY2012-61,RECONF2012-66
Volume (vol) vol.112
Number (no) 377
Page pp.pp.-
#Pages 6
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