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
Link To Document :
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