• 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