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A New Digital Control DC-DC Converter with Multi-layer Neural Network Predictor

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Title: A New Digital Control DC-DC Converter with Multi-layer Neural Network Predictor
Authors: Kurokawa, Fujio / Maruta, Hidenori / Mizoguchi, Tomoyuki / Nakamura, Akihiro / Osuga, Hiroyuki
Issue Date: Dec-2009
Publisher: IEEE
Citation: ICMLA 2009, pp.638-643
Abstract: The purpose of this paper is to present a new digital control method of the forward type multiple-output dc-dc converter with both a P-I-D feedback and a new feed forward control. In this converter, two novel control methods are proposed. The first new control method is a model method and the second new method is a neural network predictor. The dynamic characteristics of digital control dc-dc converter are improved as compared with the conventional one. Especially, the digital control dc-dc converter with method of the neural network can be realized excellent dynamic characteristics. As a result, the undershoot of the output voltage and the overshoot of reactor current are improved to 45% and 26% , respectively.
Description: 2009 International Conference on Machine Learning and Applications (ICMLA) : Miami, FL, USA, 2009.12.13-2009.12.15
URI: http://hdl.handle.net/10069/23165
ISBN: 978-0-7695-3926-3
DOI: 10.1109/ICMLA.2009.106
Rights: © 2009 IEEE.Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Type: Conference Paper
Text Version: publisher
Appears in Collections:Conference Paper

Citable URI : http://hdl.handle.net/10069/23165

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