• DocumentCode
    1127091
  • Title

    Conducted-EMI Prediction for AC Converter Systems Using an Equivalent Modular–Terminal–Behavioral (MTB) Source Model

  • Author

    Liu, Qian ; Wang, Fred ; Boroyevich, Dushan

  • Author_Institution
    Global Res. Center, Niskayuna
  • Volume
    43
  • Issue
    5
  • fYear
    2007
  • Firstpage
    1360
  • Lastpage
    1370
  • Abstract
    This paper presents a new frequency-domain method for predicting conducted electromagnetic-interference (EMI) noise in AC switching power converters whose switching conditions vary during an operating period. Based on an equivalent modular-terminal-behavioral (MTB) frequency-domain EMI source model developed for one switching period at a given operating point, the proposed approach superposes MTB models for different operating zones in the frequency domain to predict EMI noise for the entire operating period. Compared with the various existing modeling approaches, including physics-based or behavioral time-domain and frequency-domain methods, the proposed method is efficient, accurate, and more suitable for the system-level EMI study. The use of the methodology for both differential-mode and common-mode EMI-noise prediction is investigated. Verification was carried out through simulations and experiments using a half-bridge AC converter. This modular modeling approach can be applied to many other types of converters, including three-phase pulse-width-modulation inverters, as well as converters with different switching control schemes.
  • Keywords
    AC-AC power convertors; PWM invertors; electromagnetic interference; frequency-domain analysis; switching convertors; time-domain analysis; AC switching power converters; EMI prediction; behavioral time-domain methods; conducted electromagnetic-interference noise; equivalent modular-terminal-behavioral source model; frequency-domain method; half-bridge AC converter; three-phase pulse-width-modulation inverters; Circuit noise; Electromagnetic interference; Electromagnetic modeling; Filters; Noise generators; Power electronics; Power system modeling; Predictive models; Semiconductor device noise; Switching converters; AC converters; electromagnetic-interference (EMI) prediction; modular–terminal–behavioral (MTB) source model;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2007.904435
  • Filename
    4305327