• DocumentCode
    2908233
  • Title

    Model predictive torque control with duty ratio optimization for two-level inverter-fed induction motor drive

  • Author

    Yongchang Zhang ; Haitao Yang

  • Author_Institution
    Inverter Technol. Eng. Res. Center of Beijing, North China Univ. of Technol., Beijing, China
  • fYear
    2013
  • fDate
    26-29 Oct. 2013
  • Firstpage
    2189
  • Lastpage
    2194
  • Abstract
    In this paper, an improved model predictive torque control (MPTC) for induction motor (IM) drive is presented. Compared to conventional direct torque control (DTC), MPTC can achieve significant reduced torque and flux ripples by predicting the future system behavior under the limited switching states of inverters. Further steady state performance improvement in MPTC can be obtained by incorporating duty ratio optimization. Namely, the active voltage vector selected from the conventional MPTC will only be applied for a fraction of the control period, while the rest of time is allocated for a null vector. A very simple yet robust and effective method for determination of the duty ratio is employed to improve the performance of MPTC. Presented experimental results prove that the proposed MPTC with duty ratio optimization achieves better steady state performance by reducing torque ripple while maintaining the dynamic performance of the conventional MPTC.
  • Keywords
    induction motor drives; invertors; machine control; predictive control; torque control; DTC; IM drive; active voltage vector; direct torque control; duty ratio optimization; flux ripple reduction; improved MPTC; improved model predictive torque control; limited inverter switching states; steady state performance improvement; torque ripple reduction; two-level inverter-fed induction motor drive; Cost function; Observers; Stators; Torque; Torque control; Vectors; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems (ICEMS), 2013 International Conference on
  • Conference_Location
    Busan
  • Print_ISBN
    978-1-4799-1446-3
  • Type

    conf

  • DOI
    10.1109/ICEMS.2013.6713196
  • Filename
    6713196