2009 IEEE Energy Conversion Congress and Exposition 2009
DOI: 10.1109/ecce.2009.5316136
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Rotor parameter identification of saturated induction machines

Abstract: 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… Show more

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Cited by 5 publications
(2 citation statements)
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“…of magnetic saturation of the main flux path and/or leakage paths, and deep bar effects [10]- [15]; however, similar models for wound-rotor induction machines are missing. In addition, various induction machine models that consider the conducted EMI caused by the high switching frequency from the power electronics have been proposed [6]- [8], [16]- [25].…”
Section: Introductionmentioning
confidence: 99%
“…of magnetic saturation of the main flux path and/or leakage paths, and deep bar effects [10]- [15]; however, similar models for wound-rotor induction machines are missing. In addition, various induction machine models that consider the conducted EMI caused by the high switching frequency from the power electronics have been proposed [6]- [8], [16]- [25].…”
Section: Introductionmentioning
confidence: 99%
“…Several types of advanced squirrel-cage induction machine models can be found in the literature, featuring representation of main flux path and/or leakage magnetic saturation and deep bar effects [Moreira and Lipo (1992); Smith et al (1996); Sudhoff et al (2002); Seman et al (2003); Guha and Kar (2006); Ranta et al (2009)]; however, similar models for wound-rotor induction machines are missing. Most models considering high-frequency effects are typically used for EMI filter design in the frequency range between 1 kHz and 100 MHz, and are generally not suitable for dynamic analysis of electromechanical transients.…”
mentioning
confidence: 99%