A new digital control DC-DC converter with neural network predictor

Author

Kurokawa, Fujio ; Maruta, Hidenori ; Ueno, Kimitoshi ; Mizoguchi, Tomoyuki ; Nakamura, Akihiro ; Osuga, Hiroyuki

Author_Institution

Nagasaki Univ., Nagasaki, Japan

fYear

2010

fDate

12-16 Sept. 2010

Firstpage

522

Lastpage

526

Abstract

The purpose of this paper is to present a new digital control method of a forward type multiple-output dc-dc converter with both a P-I-D feedback and a new feed forward control. In this converter, a new method with a neural network predictor is presented. 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 the neural network predictor can realize excellent dynamic characteristics. As a result, the undershoot voltage, the overshoot voltage and the convergence time of the output voltage are improved to 43%, 65% and 63% respectively.

Keywords

DC-DC power convertors; digital control; feedforward; neurocontrollers; three-term control; PID feedback control; digital control; feed forward control; multiple output DC-DC converter; neural network predictor; Artificial neural networks; Converters; Digital control; Transient response; Voltage control; Digital PID control; Forward type multiple-output dc-dc converter; Neural Network;

fLanguage

English

Publisher

ieee

Conference_Titel

Energy Conversion Congress and Exposition (ECCE), 2010 IEEE

Conference_Location

Atlanta, GA

Print_ISBN

978-1-4244-5286-6

Electronic_ISBN

978-1-4244-5287-3

Type

conf

DOI

10.1109/ECCE.2010.5617975

Filename

5617975