• DocumentCode
    1925834
  • Title

    Deadbeat-direct torque and flux control on low switching frequency induction machine drives using the enhanced flux observer and torque model

  • Author

    Yukai Wang ; Tobayashi, Shunsuke ; Lorenz, Robert D.

  • Author_Institution
    WEMPEC, Univ. of Wisconsin-Madison, Madison, WI, USA
  • fYear
    2013
  • fDate
    15-19 Sept. 2013
  • Firstpage
    1786
  • Lastpage
    1793
  • Abstract
    This paper presents a digital implementation of deadbeat-direct torque and flux control (DB-DTFC) for induction machines at low switching frequencies. For high switching frequencies, existing discrete time flux observers and Volt-sec.-based inverse torque models used for DB-DTFC achieve acceptable flux estimation accuracy and fast torque response. However, the flux estimate is less accurate when switching frequency is reduced and DB-DTFC performance degrades. This paper develops a more suitable flux observer and Volt-sec.-based inverse torque model that minimizes flux estimation error and improves torque control for DB-DTFC. Simulation and experimental results are provided to evaluate the performance of the proposed observer and torque model at very low switching frequencies. Consequently, digital implementation of low switching frequency DB-DTFC on high power induction machines is feasible.
  • Keywords
    asynchronous machines; discrete time systems; electric drives; frequency control; frequency estimation; machine control; machine theory; observers; performance evaluation; torque control; DB-DTFC; acceptable flux estimation error accuracy; deadbeat-direct torque and flux control; discrete time flux observer; enhanced flux observer model; low switching frequency induction machine drive; performance evaluation; volt-sec.-based inverse torque model; Couplings; Mathematical model; Observers; Stators; Switches; Switching frequency; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conversion Congress and Exposition (ECCE), 2013 IEEE
  • Conference_Location
    Denver, CO
  • Type

    conf

  • DOI
    10.1109/ECCE.2013.6646924
  • Filename
    6646924