• DocumentCode
    75902
  • Title

    PMSM Drive Position Estimation: Contribution to the High-Frequency Injection Voltage Selection Issue

  • Author

    Medjmadj, Slimane ; Diallo, Demba ; Mostefai, Mohammed ; Delpha, Claude ; Arias, Antoni

  • Author_Institution
    Lab. of Control (LAS), Univ. Bordj Bou Arreridj, Bordj Bou Arréridj, Algeria
  • Volume
    30
  • Issue
    1
  • fYear
    2015
  • fDate
    Mar-15
  • Firstpage
    349
  • Lastpage
    358
  • Abstract
    High-frequency injection (HFI) is an alternative method to estimate permanent magnet synchronous motor (PMSM) rotor position using magnetic saliency. Once the maximum fundamental electrical frequency and the power converter switching frequency are set, the HFI voltage amplitude tuning is generally based on trial and error. This paper proposes a methodology to select the appropriate high-frequency signal injection voltage amplitude for rotor position estimation. The technique is based on an analytical model taking into account the noise in the voltage supply to derive the resulting currents containing the information on the rotor position. This model allows setting the injection voltage amplitude that leads to the maximum acceptable position error for a given signal-to-noise ratio and a speed range. The approach is validated with the analytical and the global drive models through extensive simulations. Experimental results on a 1-kW PMSM drive confirm the interest of the proposed solution.
  • Keywords
    machine control; permanent magnet motors; power convertors; synchronous motor drives; PMSM drive position estimation; high frequency injection voltage selection issue; magnetic saliency; maximum fundamental electrical frequency; permanent magnet motor; power 1 kW; power converter switching frequency; rotor position; synchronous motor; Analytical models; Estimation; Hafnium; Noise; Noise measurement; Rotors; Stators; AC motor drives; Gaussian noise; permanent magnet synchronous motor (PMSM); rotor position estimation; signal-to-noise ratio (SNR);
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/TEC.2014.2354075
  • Filename
    6902769