• DocumentCode
    32359
  • Title

    Position Self-Sensing Evaluation of a FI-IPMSM Based on High-Frequency Signal Injection Methods

  • Author

    Chen-Yen Yu ; Tamura, Junji ; Reigosa, David Diaz ; Lorenz, Robert D.

  • Author_Institution
    Wisconsin Electr. Machines & Power Electron. Consortium, Univ. of Wisconsin, Madison, WI, USA
  • Volume
    49
  • Issue
    2
  • fYear
    2013
  • fDate
    March-April 2013
  • Firstpage
    880
  • Lastpage
    888
  • Abstract
    The flux-intensified interior permanent-magnet synchronous machine (IPMSM) (FI-IPMSM) lends itself to designing for good self-sensing properties. This paper begins by evaluating the self-sensing position estimation performance of a suitably designed FI-IPMSM machine using different high-frequency injection methods. This paper then uses an alternative square-wave injection method to estimate the FI-IPMSM rotor position. The experiment results show that the estimation accuracy and system robustness are improved. It is known that secondary saliencies and saliency offset caused by the saturation of the machine can degrade the estimation accuracy. This paper also includes modeling, measurement, and decoupling methods that mitigate these undesirable effects, which are also implemented using an experimental FI-IPMSM. Estimation accuracy and torque ripple caused by the injection current are examined for this FI-IPMSM. Comparisons of the methods are presented.
  • Keywords
    permanent magnet machines; synchronous machines; FI-IPMSM; FI-IPMSM rotor position; flux-intensified interior permanent-magnet synchronous machine; high-frequency signal injection methods; position self-sensing evaluation; saliency offset; secondary saliencies; self-sensing position estimation performance; self-sensing properties; Accuracy; Harmonic analysis; Inductance; Observers; Rotors; Vectors; Carrier signal injection; flux-intensified interior permanent-magnet synchronous machine (IPMSM) (FI-IPMSM); interior permanent-magnet machines; self-sensing; sensorless;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2013.2243396
  • Filename
    6422385