• DocumentCode
    107712
  • Title

    A Fixed Switching Frequency Predictive Current Control Method for Switched Reluctance Machines

  • Author

    Mikail, Rajib ; Husain, Iqbal ; Sozer, Yilmaz ; Islam, Md Shariful ; Sebastian, Tomy

  • Author_Institution
    North Carolina State Univ., Raleigh, NC, USA
  • Volume
    50
  • Issue
    6
  • fYear
    2014
  • fDate
    Nov.-Dec. 2014
  • Firstpage
    3717
  • Lastpage
    3726
  • Abstract
    The paper presents a novel fixed switching frequency predictive current control method for switched reluctance machines (SRM). The proposed deadbeat predictive current controller accurately predicts the required duty ratio for the PWM pulse for a given reference current in each digital time step over the entire speed range of operation. The pulse width depends on the operating conditions, machine parameters and the rotor position. The controller utilizes the machine inductance profile as a function of current and rotor position to accurately predict the required voltage. The control method is studied through computer simulation and followed by experimental validation. The method is suitable for torque ripple sensitive applications requiring accurate tracking of a given current profile and mitigating the audible noise due to the switching of the inverter.
  • Keywords
    electric current control; machine control; predictive control; reluctance machines; SRM; audible noise mitigation; deadbeat predictive current controller; digital time step; fixed switching frequency predictive current control method; inverter switching; machine inductance profile; machine parameters; rotor position; switched reluctance machines; torque ripple sensitive applications; Equations; Inductance; Mathematical model; Pulse width modulation; Radiation detectors; Torque; Voltage control; Back EMF; deadbeat controller; fixedfrequency; hysteresis control; incremental inductance; nonlinearmodel; predictive control;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2014.2322144
  • Filename
    6810900