• DocumentCode
    2763378
  • Title

    Adaptive prediction in digitally controlled buck converter with fast load transient response

  • Author

    Lee, Albert Ting Leung ; Chan, Philip Ching Ho

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
  • fYear
    2012
  • fDate
    10-13 June 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    An adaptive prediction scheme based on linear extrapolation for digitally controlled voltage-mode buck-type switching converter is presented. A major drawback of conventional digitally controlled switching converters is bandwidth limitation due to the additional phase lag in the digital feedback control loop. By predicting the future error voltage, the ADC sampling time delay is compensated in order to achieve a higher bandwidth even with a modest sampling rate. Both simulation and measurement results show that the output voltage settling time of the digitally controlled buck converter is reduced by as much as 28% with the proposed adaptive prediction. The fastest settling time in response to a 600mA load transient is around 15μs, approaching the transient response of the state-of-the-art analog-based controller.
  • Keywords
    analogue-digital conversion; digital control; extrapolation; power convertors; switching convertors; transient response; ADC sampling time delay; adaptive prediction; analog-based controller; current 600 mA; digital feedback control loop; digitally controlled voltage-mode buck-type switching converter; fast load transient response; phase lag; Bandwidth; Control systems; Extrapolation; Finite impulse response filter; Load modeling; Transient analysis; Voltage control; Adaptive prediction; IIR filter; adaptive FIR filter; buck converter; digital controller;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Modeling for Power Electronics (COMPEL), 2012 IEEE 13th Workshop on
  • Conference_Location
    Kyoto
  • ISSN
    1093-5142
  • Print_ISBN
    978-1-4244-9372-2
  • Electronic_ISBN
    1093-5142
  • Type

    conf

  • DOI
    10.1109/COMPEL.2012.6251747
  • Filename
    6251747