DocumentCode :
28006
Title :
Squirrel-Cage Induction Motor Parameter Estimation Using a Variable Frequency Test
Author :
Monjo, Lluis ; Kojooyan-Jafari, Hengameh ; Corcoles, Felipe ; Pedra, Joaquin
Author_Institution :
Dept. of Electr. Eng., Univ. Politec. de Catalunya, Barcelona, Spain
Volume :
30
Issue :
2
fYear :
2015
fDate :
Jun-15
Firstpage :
550
Lastpage :
557
Abstract :
This paper presents a method for squirrel-cage induction motor parameter estimation using a phase-to-phase standstill variable frequency test. The measured resistance and reactance at different frequencies are the data of the minimization error function to be minimized for single- and double-cage model parameters estimation. It is observed that the single-cage model is unable to fit the measured data for frequencies above several tenths of Hertz, whereas the double-cage model fits the measured data accurately in all the frequency ranges (from 0 to 150 Hz). The single- and double-cage estimated parameters are validated by comparison with data from two additional tests: 1) steady-state torque and current measurement test at different speeds; and 2) dynamic free-acceleration test. Again, the agreement between measured and predicted torque (in the first test) and current (in both tests) is satisfactory only for the double-cage model.
Keywords :
electric current measurement; electric reactance measurement; induction motor drives; parameter estimation; squirrel cage motors; double-cage model parameter estimation; dynamic free-acceleration test; minimization error function; phase-to-phase standstill variable frequency test; reactance measurement; resistance measurement; single-cage model parameter estimation; squirrel-cage induction motor parameter estimation; steady-state current measurement test; steady-state torque measurement test; Current measurement; Induction motors; Parameter estimation; Predictive models; Resistance; Stators; Torque measurement; Induction motor; parameter estimation; standstill frequency response test;
fLanguage :
English
Journal_Title :
Energy Conversion, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8969
Type :
jour
DOI :
10.1109/TEC.2014.2362964
Filename :
6948237
Link To Document :
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