Presentation 2012-07-31
Improvement of Transient Response of DC-DC Converter with Neural Network
Masashi Motomura, Hidenori Maruta, Fujio Kurokawa,
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Abstract(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 in the proportional control term 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. After the training, the reference in the P control is modified by the predictor to improve the transient response. By using the proposed method, the undershoot of output voltage is suppressed to 41% compared with the conventional method's one. The convergence time is also improved to 48% 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)
Keyword(in English) DC-DC Converter / PID Control / Neural Network / Reference
Paper # EE2012-14
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Conference Information
Committee EE
Conference Date 2012/7/23(1days)
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Paper Information
Registration To Energy Engineering in Electronics and Communications (EE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Improvement of Transient Response of DC-DC Converter with Neural Network
Sub Title (in English)
Keyword(1) DC-DC Converter
Keyword(2) PID Control
Keyword(3) Neural Network
Keyword(4) Reference
1st Author's Name Masashi Motomura
1st Author's Affiliation Graduate School of Engineering, Nagasaki University()
2nd Author's Name Hidenori Maruta
2nd Author's Affiliation Graduate School of Engineering, Nagasaki University
3rd Author's Name Fujio Kurokawa
3rd Author's Affiliation Graduate School of Engineering, Nagasaki University
Date 2012-07-31
Paper # EE2012-14
Volume (vol) vol.112
Number (no) 167
Page pp.pp.-
#Pages 5
Date of Issue