• DocumentCode
    2908219
  • Title

    Model predictive mean power control of PWM rectifier

  • Author

    Yongchang Zhang ; Wei Xie

  • Author_Institution
    Inverter Technol. Eng. Res. Center of Beijing, North China Univ. of Technol., Beijing, China
  • fYear
    2013
  • fDate
    26-29 Oct. 2013
  • Firstpage
    2195
  • Lastpage
    2200
  • Abstract
    This paper proposes a mean active power control for pulse-width modulation (PWM) rectifier based on model predictive direct power control (MPDPC). Conventional MPDPC can achieve good steady state performance and quick dynamic response by minimizing a cost function relating to power errors. However, in two-level PWM rectifier, there are only eight discrete voltage vectors, which restricts the performance improvement of conventional MPDPC. The sampling frequency has to be high to achieve good steady state performance. As zero vector produces relative small power variations, this paper tries to incorporate the zero vector during one control period to achieve further steady state performance improvement. Only a fraction of control period is allocated to the non-zero vector obtained from conventional MPDPC and the duration is determined based on the principle of equaling the active power to its reference value in one control period. The presented experimental results prove that the proposed method produces lower power ripples and less current harmonics, while the dynamic response of conventional MPDPC is reserved.
  • Keywords
    PWM rectifiers; dynamic response; power control; predictive control; MPDPC; cost function minimization; discrete voltage vectors; dynamic response; mean active power control; model predictive direct power control; nonzero vector; power variations; pulsewidth modulation rectifier; reference value; sampling frequency; steady state performance improvement; two-level PWM rectifier; zero vector; Pulse width modulation; Steady-state; Torque; Vectors;
  • 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.2013.6713195
  • Filename
    6713195