A two-step method for estimating the parameters of induction machine models
Name
Laughman-2009-A two-step method for estimating the parameters of induction machine models.pdf
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1.02 MB
Format
Adobe PDF
Checksum (MD5)
ad9fd0023362f891ec988955b2b46143
Author(s)
Norford, Leslie Keith
Leeb, Steven B.
Laughman, Christopher Reed
Armstrong, Peter R.
Shaw, Steven R.
Date Issued
November 2009
Journal
IEEE Energy Conversion Congress and Exposition, 2009. ECCE 2009
Publisher
Institute of Electrical and Electronics Engineers
Citation
Laughman, C. et al. “A two-step method for estimating the parameters of induction machine models.” Energy Conversion Congress and Exposition, 2009. ECCE 2009. IEEE. 2009. 262-269. © 2009 Institute of Electrical and Electronics Engineers.
Version
Final published version
Abstract
This paper describes and demonstrates a mathematical algorithm that can monitor the physical parameters of the motor solely by observing the stator electrical currents. This method uses measurements of transient stator currents to identify the parameters of an electromechanical model of the induction motor. These parameters are obtained from a relatively poor initial guess, which is constrained only to be within an order of magnitude of the physical parameters, by using a two-step strategy based upon nonlinear least-squares regression techniques. This makes the approach in this paper useful for diagnostic monitoring and energy scorekeeping. Experimental results are presented which demonstrate the effectiveness of this method on identifying the parameters of a 1 HP induction motor connected to a squirrel cage fan in an air-handling unit.
MIT Department
MIT Materials Research Laboratory
Massachusetts Institute of Technology. Department of Architecture
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ECCE.2009.5316204
