DocumentCode :
1715834
Title :
Numerical Parameter Estimation Procedure for Three Phase Induction Motor Models
Author :
Stefopoulos, George K. ; MelioPoulos, A. P Sakis
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA
fYear :
2007
Firstpage :
1111
Lastpage :
1116
Abstract :
This paper concentrates on the implementation of an analytically-based identification procedure of three phase induction motor models, for steady-state and quasi-steady-state analysis. The mathematical model of the motor is based on the use of linear and quadratic equations, reducing therefore the system nonlinearity to at most second degree. The model optionally includes slip-dependent rotor parameters, allowing therefore a unified and accurate representation of every possible motor design (NEMA designs A, B, C and D). The parameter estimation methodology allows the motor model identification using the slip-torque and slip-current motor characteristic. The estimation procedure is demonstrated with some simple numerical examples.
Keywords :
induction motors; mathematical analysis; parameter estimation; analytically-based identification procedure; linear equations; mathematical model; motor model identification; numerical parameter estimation procedure; quadratic equations; quasi-steady-state analysis; slip-current motor characteristic; slip-dependent rotor parameters; slip-torque motor characteristic; steady-state analysis; three phase induction motor models; Computational intelligence; Induction motors; Industrial power systems; Least squares approximation; Parameter estimation; Performance evaluation; Power system analysis computing; Power system dynamics; Power system modeling; Testing; Induction motor model; Least squares estimation; Parameter estimation; System identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Tech, 2007 IEEE Lausanne
Conference_Location :
Lausanne
Print_ISBN :
978-1-4244-2189-3
Electronic_ISBN :
978-1-4244-2190-9
Type :
conf
DOI :
10.1109/PCT.2007.4538471
Filename :
4538471
Link To Document :
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