DocumentCode :
1020579
Title :
High-speed parameter estimation of stepper motors
Author :
Blauch, Andrew J. ; Bodson, Marc ; Chiasson, John
Author_Institution :
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume :
1
Issue :
4
fYear :
1993
fDate :
12/1/1993 12:00:00 AM
Firstpage :
270
Lastpage :
279
Abstract :
A batch least-squares algorithm is used to identify the parameters of a permanent magnet stepper motor. Short data segments of less than a tenth of a second are considered, and the procedure does not require a special motor configuration. Error indexes are studied as measures of uncertainty in the estimation procedure. Simulations are performed to test the identification method and the usefulness of the error indexes. Experimental results, obtained on an industrial setup, demonstrate the validity of the approach in an actual application. The results can be used to develop models of stepper motors for precise control and to automatically tune computer-controlled drives
Keywords :
least squares approximations; parameter estimation; permanent magnet motors; stepping motors; batch least-squares algorithm; error indexes; high-speed parameter estimation; permanent magnet stepper motor; short data segments; Application software; Automatic control; Computational modeling; Computer errors; Drives; Measurement uncertainty; Parameter estimation; Performance evaluation; Permanent magnet motors; Testing;
fLanguage :
English
Journal_Title :
Control Systems Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6536
Type :
jour
DOI :
10.1109/87.260272
Filename :
260272
Link To Document :
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