• DocumentCode
    143195
  • Title

    Predictive DTC algorithm for induction machines using Sliding Horizon Prediction

  • Author

    Rengifo, Johnny ; Aller, Jose ; Berzoy, Alberto ; Restrepo, Jose

  • Author_Institution
    Dept. de Conversion y Transporte de Energia, Univ. Simon Bolivar, Caracas, Venezuela
  • fYear
    2014
  • fDate
    25-28 Feb. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents a predictive direct torque control PDTC algorithm for induction machine drives including a Sliding Horizon Prediction (SH-PDTC). The selected strategy for the SH-PDTC algorithm was to keep the motor torque and stator flux-linkage within predefined hysteresis bounds while reducing inverter switching losses. The proposed SH-PDTC algorithm shows better performance in torque and stator flux-linkage control in comparison with classical PDTC, without increasing power losses in the inverter. A sensitivity analysis allows to evaluate algorithm performance under parameter uncertainty, and the results show that SH-PDTC keeps torque ripple performance. The paper includes a simulation to verify the PDTC and SH-PDTC algorithms controlling an induction machine, with a standard two level inverter.
  • Keywords
    asynchronous machines; machine control; predictive control; torque control; variable structure systems; SH-PDTC algorithm; induction machine drives; inverter switching losses reduction; predictive DTC algorithm; predictive direct torque control; sliding horizon prediction; stator flux-linkage; Cost function; Induction machines; Prediction algorithms; Stators; Torque; Vectors; Voltage control; DTC; Induction machine; Predictive control; Sliding horizon prediction; Switching losses;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (LASCAS), 2014 IEEE 5th Latin American Symposium on
  • Conference_Location
    Santiago
  • Print_ISBN
    978-1-4799-2506-3
  • Type

    conf

  • DOI
    10.1109/LASCAS.2014.6820265
  • Filename
    6820265