Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Convergence of the identification algorithm applied to the mutual inductance of the induction motor

Convergence of the identification algorithm applied to the mutual inductance of the induction motor Convergence of the identification algorithm applied to the mutual inductance of the induction motor A new observer of induction motor state variables is proposed in the paper. A nonlinearity of the main magnetic path is expressed as a function of a properly chosen parameter versus the position vector length. The value of the mutual inductance received in the identification algorithm is calculated exploiting the estimated values of the state variables. The coefficients appearing in the differential equations of the observer system are modified in each step of the algorithm on the basis of the calculated mutual inductance. The analysis of convergence of the identification algorithm is shown in this paper. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Archives of Electrical Engineering de Gruyter

Convergence of the identification algorithm applied to the mutual inductance of the induction motor

Loading next page...
 
/lp/de-gruyter/convergence-of-the-identification-algorithm-applied-to-the-mutual-Slcmm3iR10
Publisher
de Gruyter
Copyright
Copyright © 2012 by the
ISSN
0004-0746
DOI
10.2478/v10171-012-0027-x
Publisher site
See Article on Publisher Site

Abstract

Convergence of the identification algorithm applied to the mutual inductance of the induction motor A new observer of induction motor state variables is proposed in the paper. A nonlinearity of the main magnetic path is expressed as a function of a properly chosen parameter versus the position vector length. The value of the mutual inductance received in the identification algorithm is calculated exploiting the estimated values of the state variables. The coefficients appearing in the differential equations of the observer system are modified in each step of the algorithm on the basis of the calculated mutual inductance. The analysis of convergence of the identification algorithm is shown in this paper.

Journal

Archives of Electrical Engineeringde Gruyter

Published: Sep 1, 2012

There are no references for this article.