• DocumentCode
    108298
  • Title

    Autotuning of Digital Deadbeat Current Controllers for Grid-Tie Inverters Using Wide Bandwidth Impedance Identification

  • Author

    Martin, Daniel ; Santi, Enrico

  • Author_Institution
    Dept. of Electr. Eng., Univ. of South Carolina, Columbia, SC, USA
  • Volume
    50
  • Issue
    1
  • fYear
    2014
  • fDate
    Jan.-Feb. 2014
  • Firstpage
    441
  • Lastpage
    451
  • Abstract
    By injecting a wide-bandwidth small-amplitude test sequence into the inverter´s pulsewidth-modulated control signal and by utilizing digital network analyzer techniques, an accurate estimation of the inverter´s output inductance can be obtained without external equipment and under realistic operating conditions, which is important given the nonlinear characteristics of commonly used powdered iron cores. This knowledge can be then leveraged to tune the inverter´s digital deadbeat controller for optimal performance, i.e., reaching the desired reference in n switching cycles, where n is the order of the system. A pseudorandom-binary-sequence-based injection sequence is chosen for its wideband spectral content. Experimental results demonstrate the improvement in the output-current total harmonic distortion obtainable with the proposed approach.
  • Keywords
    PWM invertors; digital control; electric current control; inductance; digital deadbeat controller; digital deadbeat current controller autotuning; digital network analyzer technique; grid-tie inverter; inverter output inductance; inverter pulsewidth modulated control signal; nonlinear characteristics; powdered iron cores; pseudorandom binary sequence based injection sequence; realistic operating condition; wide bandwidth impedance identification; wide bandwidth small amplitude test sequence; Current measurement; Impedance; Inductance; Inductors; Inverters; Switches; Voltage control; Adaptive control; current control; inverters; system identification;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2013.2267708
  • Filename
    6541970