Rotor parameter identification of saturated induction machines

Mikaela Ranta, Marko Hinkkanen, Jorma Luomi

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

An induction machine model is proposed for the identification of rotor parameters using high-frequency signal injection. The model includes both the magnetic saturation caused by the fundamental-wave components and the frequency dependence encountered in the signal injection method. Both the skin effect in the rotor winding and the eddy current losses in the rotor core are taken into account. Sinusoidal signal injection is used at several frequencies, and the model parameters are fitted to the results. The rotor leakage inductance and the rotor resistance valid at low slip frequencies are also obtained from the model directly. Experimental results for a 45-kW machine are presented. It is shown that the model fits well to the measured data in various operating points, and the accuracy of the identified parameters is good.
Original languageEnglish
Title of host publication2009 IEEE Energy Conversion Congress and Exposition
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages1524-1531
Number of pages8
ISBN (Print)978-1-4244-2893-9
DOIs
Publication statusPublished - 24 Sept 2009
MoE publication typeA4 Article in a conference publication
EventIEEE Energy Conversion Congress and Exposition - San Jose, United States
Duration: 20 Sept 200924 Sept 2009

Conference

ConferenceIEEE Energy Conversion Congress and Exposition
Abbreviated titleECCE 2009
Country/TerritoryUnited States
CitySan Jose
Period20/09/0924/09/09

Keywords

  • Parameter estimation
  • Induction machines
  • Signal processing
  • Saturation magnetization
  • Frequency dependence
  • Skin effect
  • Eddy currents
  • Magnetic cores
  • Inductance
  • Electrical resistance measurement

Fingerprint

Dive into the research topics of 'Rotor parameter identification of saturated induction machines'. Together they form a unique fingerprint.

Cite this