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Paper Abstract and Keywords
Presentation 2014-01-24 11:15
Improvement of Transient Response by Learning Based Reference Modification for Digitally Controlled DC-DC Converter
Masashi Motomura, Hidenori Maruta, Fujio Kurokawa (Nagasaki Univ.) EE2013-44
Abstract (in Japanese) (See Japanese page) 
(in English) The purpose of this paper is to present a new digital control method for dc-dc converters by reference modification with the neural network(NN). In the presented method, the reference of the conventional PID control is modified using the neural network predictor during the transient interval. The neural network is repeatedly trained to predict the output voltage using former predicted data for the modification of the reference. I have studied in detail for the performed duration of neural network because the performed duration of neural network has not been studied in detail. By using the proposed method, the undershoot of output voltage is suppressed to 55% compared with the conventional method’s one. The convergence time is also improved to 53% compared with the conventional method’s one. Therefore, it is confirmed that the proposed method has the superior performance to control dc-dc converters.
Keyword (in Japanese) (See Japanese page) 
(in English) DC-DC Converter / PID Control / Neural Network / Reference / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 392, EE2013-44, pp. 79-83, Jan. 2014.
Paper # EE2013-44 
Date of Issue 2014-01-16 (EE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF EE2013-44

Conference Information
Committee EE  
Conference Date 2014-01-23 - 2014-01-24 
Place (in Japanese) (See Japanese page) 
Place (in English) MIYAZAKI KANKO HOTEL 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To EE 
Conference Code 2014-01-EE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement of Transient Response by Learning Based Reference Modification for Digitally Controlled DC-DC Converter 
Sub Title (in English)  
Keyword(1) DC-DC Converter  
Keyword(2) PID Control  
Keyword(3) Neural Network  
Keyword(4) Reference  
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Keyword(6)  
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1st Author's Name Masashi Motomura  
1st Author's Affiliation Nagasaki University (Nagasaki Univ.)
2nd Author's Name Hidenori Maruta  
2nd Author's Affiliation Nagasaki University (Nagasaki Univ.)
3rd Author's Name Fujio Kurokawa  
3rd Author's Affiliation Nagasaki University (Nagasaki Univ.)
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Speaker Author-1 
Date Time 2014-01-24 11:15:00 
Presentation Time 25 minutes 
Registration for EE 
Paper # EE2013-44 
Volume (vol) vol.113 
Number (no) no.392 
Page pp.79-83 
#Pages 5 
Date of Issue 2014-01-16 (EE) 

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