• DocumentCode
    1469135
  • Title

    Using the Motor Drive as a Sensor to Extract Spatially Dependent Information for Motion Control Applications

  • Author

    Wolf, Christopher M. ; Lorenz, Robert D.

  • Author_Institution
    Wisconsin Electr. Machines & Power Electron. Consortium, Univ. of Wisconsin, Madison, WI, USA
  • Volume
    47
  • Issue
    3
  • fYear
    2011
  • Firstpage
    1344
  • Lastpage
    1351
  • Abstract
    This paper presents a methodology for extracting useful spatial signals using the motor drive as the sensor during servo operation. Spatially dependent phenomena yield nonstationary frequency content during servo operation. With variable frequency and frequency-dependent amplitude in the current and torque signals, the underlying valuable spatial information is difficult to extract using conventional frequency-domain approaches. The methodology presented uses the motor drive to estimate the spatially dependent disturbance torque information during servo operation using spatial-domain resampling of temporal-domain signals internal to the motor drive. Spatial-domain information is speed invariant, making it accessible even during servo operation. Additionally, this paper develops a framework to operate through varying speeds to help isolate the systematic spatially dependent content using spatial synchronous averaging. These methods and concepts are evaluated through simulation as well as experimentation. This methodology can be utilized to provide robust control of machines through identification of spatial components, as well as improve diagnostics of machine and load degradation.
  • Keywords
    AC motor drives; fault diagnosis; frequency-domain analysis; motion control; servomechanisms; time-frequency analysis; conventional frequency-domain approach; frequency-dependent amplitude; load degradation; motion control application; motor drive; sensor; servo operation; spatial synchronous averaging; spatial-domain information; spatially dependent information extraction; spatially dependent phenomena yield nonstationary frequency content; temporal-domain signal; torque signals; Data mining; Gears; Interpolation; Observers; Rotors; Torque; Tuning; AC drives; fault diagnosis; order tracking; sampling methods; signal representations; spatial sampling; state estimation;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2011.2126014
  • Filename
    5728909