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