DocumentCode :
2332696
Title :
Identification of PM synchronous machines in the frequency domain by broadband excitation
Author :
Vyncke, Thomas J. ; De Belie, Frederik M L L ; Boel, René K. ; Melkebeek, Jan A A ; Cheng, Yonghua ; Lataire, Philippe
Author_Institution :
Dept. of Electr. Energy, Ghent Univ. (UGent), Ghent
fYear :
2008
fDate :
11-13 June 2008
Firstpage :
1253
Lastpage :
1258
Abstract :
Modelling and identification of synchronous machines has attracted much attention during the past decades. Although the standstill frequency response (SSFR) method has become standardized (IEEE Std. 115) it has some disadvantages (e.g. it is a time consuming method). To overcome these, the use of broadband excitation has been proposed in the literature. In this paper the use of broadband excitation for the frequency domain identification of permanent magnet synchronous machines is investigated. The measurement set-up and method are discussed, with special attention to the selection of the applied excitation signals. Three broadband signals suitable for frequency domain parameter identification are discussed and compared in measurements. The obtained frequency domain data can be used in different applications. Examples are given in this paper. Furthermore the extraction of a parametric model from the nonparametric frequency domain data is briefly discussed. The identified parameters can be used to study the influence of saturation or can be applied in the simulation and control of permanent magnet synchronous machines. Measurement results demonstrate that broadband frequency domain identification can be applied to extract the parameters (inductances) of permanent magnet synchronous machines. Moreover, the reproducibility of the method is shown to be good as the variation in the parameters obtained in different measurement sessions is low. Future work on the subject will include a closer investigation of the variations in the obtained parameters, the use of higher order models and the application of more complex estimation algorithms.
Keywords :
frequency-domain analysis; parameter estimation; permanent magnet machines; synchronous machines; PM synchronous machines; broadband excitation; frequency domain; parameter identification; permanent magnet synchronous machines; standstill frequency response method; Data mining; Frequency domain analysis; Frequency measurement; Frequency response; Parameter estimation; Parametric statistics; Permanent magnet machines; Reproducibility of results; Signal processing; Synchronous machines; SSFR; frequency domain methods; parameter identification; permanent magnet synchronous machine (PMSM);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics, Electrical Drives, Automation and Motion, 2008. SPEEDAM 2008. International Symposium on
Conference_Location :
Ischia
Print_ISBN :
978-1-4244-1663-9
Electronic_ISBN :
978-1-4244-1664-6
Type :
conf
DOI :
10.1109/SPEEDHAM.2008.4581176
Filename :
4581176
Link To Document :
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