• DocumentCode
    1330858
  • Title

    A Sample-Data Model for Double Edge Current Programmed Mode Control (DECPM) in High-Frequency and Wide-Range DC–DC Converters

  • Author

    Park, Jinseok ; Fan, Jiwei ; Wang, Xiaopeng ; Huang, Alex

  • Author_Institution
    Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
  • Volume
    25
  • Issue
    4
  • fYear
    2010
  • fDate
    4/1/2010 12:00:00 AM
  • Firstpage
    1023
  • Lastpage
    1033
  • Abstract
    This paper focuses on a sample-data model for double edge current programmed mode control (DECPM) and its application to high-frequency and wide-range dc-dc converters. Steady-state conditions and subharmonic oscillation issues for DECPM are addressed. By combining the conventional peak and valley current programmed mode control, a sample-data model for DECPM is proposed. A small signal model for DECPM is developed by deriving the modulation gains (Fm) and the sampling gains (He) for DECPM from the proposed sample-data model. The sampling frequency dependence on the duty ratio and a large current loop gain at high frequency for DECPM are emphasized. The analytical results are verified by the simulation. Finally, DECPM is proposed as a method to control the high-frequency and wide-range dc-dc converters. A 10-MHz four-switch buck boost converter is implemented with DECPM to verify the viability of its application to high-frequency and wide-range converters.
  • Keywords
    DC-DC power convertors; electric current control; programmed control; sampled data systems; double edge current programmed mode control; four-switch buck boost converter; frequency 10 MHz; high-frequency DC-DC converters; modulation gains; sample-data model; sampling gains; subharmonic oscillation; wide-range DC-DC converters; Double edge current programmed mode control (DECPM); four-switch buck boost converter (4SBBC); high-frequency and wide-range converter; sample-data modeling;
  • fLanguage
    English
  • Journal_Title
    Power Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8993
  • Type

    jour

  • DOI
    10.1109/TPEL.2009.2036618
  • Filename
    5332347