NDLI: On-Line Identification of Induction Motors using Discrete Models for Sinusoidal Signals

Content Provider	IEEE Xplore Digital Library
Author	do Prado, A. de Sousa, A.H. Ferrari, S.M.
Copyright Year	2006
Description	Author affiliation: Santa Catarina State Univ. (do Prado, A.; de Sousa, A.H.; Ferrari, S.M.)
Abstract	In this work are developed two on-line identification methods for induction motors based on discrete models obtained when we consider continuous systems excited by sinusoidal signals. The first method uses the discrete model of the homopolar machine in the stationary frame to estimate the stator resistance and the stator leakage inductance and the discrete model of the linear system existent among the stator flux and stator current in the rotor frame to estimate all the electric parameters of the motor. The second method, besides this last model, presupposes to estimate the stator resistance with DC excitation added to the supply voltage of the motor and the knowledge of the motor class, in order to estimate the other electric parameters through classical methods of least squares parameters estimation. Simulation and experimental results illustrate the proposed methods
Starting Page	811
Ending Page	816
File Size	194239
Page Count	6
File Format	PDF
ISBN	1424403901
ISSN	1553572X
DOI	10.1109/IECON.2006.347339
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-11-06
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Induction motors Signal processing Stators Electric resistance DC motors Continuous time systems Homopolar machines Inductance Linear systems Rotors
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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