A New Prediction Based Digital Control DC-DC Converter

Author

Kurokawa, Fujio ; Maruta, Hidenori ; Sakemi, Junya ; Nakamura, Akihiro ; Osuga, Hiroyuki

Author_Institution

Nagasaki Univ., Nagasaki, Japan

fYear

2010

fDate

12-14 Dec. 2010

Firstpage

720

Lastpage

725

Abstract

This paper presents a novel prediction based digital control dc-dc converter. In this method, addition to the P-I-D control as the feedback control, the prediction based control is used as the feedfoward control. In the feedfoward control, the neural network based method is adopted. This works to improve the transient response very effectively when the load is changed quickly. As a result, the undershoot of the output voltage and the overshoot of the reactor current are suppressed effectively as compared with the conventional one in the step change of load resistance. It is confirmed that the prediction based control technique is useful to realize the high performance digital control method for the dc-dc converter.

Keywords

DC-DC power convertors; digital control; feedback; feedforward; neurocontrollers; three-term control; PID control; feedback control; feedfoward control; neural network based method; output voltage; prediction based digital control DC-DC converter; reactor current; Artificial neural networks; Converters; Digital control; Inductors; Integrated circuit modeling; Load modeling; Voltage control; dc-dc converter; digital control; neural network;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Applications (ICMLA), 2010 Ninth International Conference on

Conference_Location

Washington, DC

Print_ISBN

978-1-4244-9211-4

Type

conf

DOI

10.1109/ICMLA.2010.110

Filename

5708932