DocumentCode :
3158222
Title :
Switched inductor two-quadrant DC/DC converter with neural network control
Author :
Luo, Fan Lin ; Ye, Hong
Author_Institution :
Nanyang Technol. Inst., Singapore
Volume :
2
fYear :
1999
fDate :
1999
Firstpage :
1114
Abstract :
Classical DC/DC converters usually consist of inductors and capacitors such as buck converter, boost converter, buck-boost converter, Luo-converters and Cuk-converter. Because all classical converters consist of capacitors and inductors, they have big size and low power density. The switched-inductor has been successfully employed in DC/DC converters and opened the way to build the converters with high power density. For example, Professor John G. Kassakian of MIT designed a new power supply system for the future electric car in the 21st century (see IEEE Spectrum, p.22-7, 1996). The heart of this system is a two-quadrant DC/DC converter operating the conversion between +42 V and -14 VDC. In this paper the author discusses the operating modes of the converter and its control by neural nets
Keywords :
DC-DC power convertors; inductors; neurocontrollers; switching circuits; 42 to -14 V; electric car; high power density; neural network control; operating modes; power supply system; switched inductor two-quadrant DC/DC converter; Buck converters; Capacitors; Circuits; DC-DC power converters; Diodes; Equations; Inductors; Neural networks; Switches; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics and Drive Systems, 1999. PEDS '99. Proceedings of the IEEE 1999 International Conference on
Print_ISBN :
0-7803-5769-8
Type :
conf
DOI :
10.1109/PEDS.1999.792864
Filename :
792864
Link To Document :
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