Comparison of standstill parameter identification methods for induction motors

Khamehchi, Sina; Mölsä, Eemeli; Hinkkanen, Marko

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Comparison of standstill parameter identification methods for induction motors

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Title:	Comparison of standstill parameter identification methods for induction motors
Author(s):	Khamehchi, Sina ; Mölsä, Eemeli ; Hinkkanen, Marko
Date:	2018-09-13
Language:	en
Pages:	6 156-161
Department:	Department of Electrical Engineering and Automation
ISBN:	978-1-5386-4455-3
Series:	IEEE 9th International Symposium on Sensorless Control for Electrical Drives, SLED 2018, IEEE international symposium on sensorless control for electrical drives
ISSN:	2166-6733
DOI-number:	10.1109/SLED.2018.8486001
Subject:	213 Electronic, automation and communications engineering, electronics, 111 Mathematics
Keywords:	induction motor drives, parameter identification, saturation characteristics, inductance, stators, resistance, saturation magnetization, magnetic hysteresis, mathematical model, rotors, 213 Electronic, automation and communications engineering, electronics, 111 Mathematics
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Citation: Khamehchi , S , Mölsä , E & Hinkkanen , M 2018 , Comparison of standstill parameter identification methods for induction motors . in IEEE 9th International Symposium on Sensorless Control for Electrical Drives, SLED 2018 . IEEE international symposium on sensorless control for electrical drives , IEEE , pp. 156-161 , IEEE International Symposium on Sensorless Control for Electrical Drives , Helsinki , Finland , 13/09/2018 . https://doi.org/10.1109/SLED.2018.8486001
Abstract: This paper compares two different standstill identification schemes for the induction motor (IM) parameters. The schemes apply sinusoidal-excitation tests and DC-decay tests. Magnetic saturation of the motor is taken into account. The sensitivity of the parameter estimation to the stator resistance errors and the voltage errors is studied. Simulation results using a 2.2-kW IM drive are presented.

Permanent link to this item: http://urn.fi/URN:NBN:fi:aalto-201812106247 Email this Export to RefWorks QR Code Print BibTex Tweet