Modeling of Induction Motors from Standstill Frequency Response Tests and a Parameter Estimation Algorithm

1 March 1992

journal article
research article
Published by Taylor & Francis in Electric Machines & Power Systems

Vol. 20 (2) , 123-136
https://doi.org/10.1080/07313569208909576

Abstract

Measurements from standstill frequency response test (SSFR) together with the least error squares (LS) parameters estimation algorithm are used for modelling of the induction motors. The equivalent circuit parameters, which are used for studying the performances of the induction motor, can be derived from this model. A comparison between estimated parameters using the proposed algorithm and the manufacture's data available is performed, this comparison showed a good agreement of the proposed algorithm.

Keywords

This publication has 10 references indexed in Scilit:

Derivation of induced motor models from standstill frequency response tests
IEEE Transactions on Energy Conversion, 1989
A new algorithm for optimal parameter estimation of a synchronous machine from frequency tests based on LAV approximations
Canadian Journal of Electrical and Computer Engineering, 1989
Induction Machine Modelling for Electromagnetic Transient Program
IEEE Transactions on Energy Conversion, 1987
Improvement in Modeling and Testing of Induction Motors
IEEE Transactions on Energy Conversion, 1987
Synchronous Machine Modelling by Standstill Frequency Response Tests
IEEE Transactions on Energy Conversion, 1987
Current Usage & Suggested Practices in Power System Stability Simulations for Synchronous Machines
IEEE Transactions on Energy Conversion, 1986
An Aggregate Induction Motor Model for Industrial Plants
IEEE Transactions on Power Apparatus and Systems, 1984
Modeling Induction Motors for System Studies
IEEE Transactions on Industry Applications, 1983
Application of Induction Motor Simulation Models to Power Station Auxiliary Pump Drives
IEEE Transactions on Power Apparatus and Systems, 1979
The General Theory of Alternating Current Machines
Published by Springer Nature ,1975