High-speed parameter estimation of step motors

Andrew J. Blauch, Marc Bodson, John Chiasson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A batch least-squares algorithm is applied to identify the parameters of a permanent magnet step motor. Short data segments of less than a tenth of a second are considered and the procedure does not require a special configuration of the motor. Error indices are studied as measures of uncertainty in the estimation procedure. Simulations are performed to test the identification method and the usefulness of the error indices. 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 step motors for precise control and to automatically tune computer-controlled drives.

Original languageEnglish
Title of host publicationAmerican Control Conference
Pages2368-2372
Number of pages5
DOIs
StatePublished - 1993
EventProceedings of the 1993 American Control Conference - San Francisco, CA, USA
Duration: 2 Jun 19934 Jun 1993

Publication series

NameAmerican Control Conference

Conference

ConferenceProceedings of the 1993 American Control Conference
CitySan Francisco, CA, USA
Period2/06/934/06/93

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