• DocumentCode
    2642322
  • Title

    Inductance-based position self-sensing of a brushless DC-machine using high-frequency signal injection

  • Author

    Gabriel, Fabien ; De Belie, Frederik ; Neyt, X.

  • Author_Institution
    Signal & Image Centre (SIC), R. Mil. Acad. (RMA), Brussels, Belgium
  • fYear
    2012
  • fDate
    25-28 Oct. 2012
  • Firstpage
    3682
  • Lastpage
    3687
  • Abstract
    Inductance-based self-sensing methods allow to estimate the rotor position by tracking the magnetic anisotropy linked to the rotor. The inductance can be quickly estimated by measuring the response on the injection of high-frequency signals in addition to the signals of normal-operating control. Compared to more conventional permanent-magnet synchronous machines, driving a low-inductance brushless DC-machine presents some issues that must be taken into account: significant inverter nonlinearities, impact of the stator resistance on the inductance estimation, important harmonic content in the magnetic field that leads to errors in the rotor-position estimation. In this paper, we propose a signal-injection solution that removes the stator-resistance impact. A solution to the inverter nonlinearities is also discussed. Experimental results demonstrate the robustness of the control scheme at low and higher speeds.
  • Keywords
    PWM invertors; brushless DC motors; electric resistance; inductance; machine control; magnetic fields; robust control; rotors; stators; control scheme robustness; harmonic content; high-frequency signal injection; inductance estimation; inductance-based position self-sensing; inverter nonlinearities; low-inductance brushless DC-machine; magnetic anisotropy; magnetic field; rotor position; rotor-position estimation; stator resistance impact; Inverters; Lead; Magnetic field measurement; Magnetic fields;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Montreal, QC
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4673-2419-9
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2012.6389306
  • Filename
    6389306