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Identification of rotor and stator flux linkage maps of squirrel cage induction motors based on identification of rotor time constant maps

Stoß, Johannes ORCID iD icon 1; Karayel, Akif 1; Geier, Leonard 1; Liske, Andreas 1; Hiller, Marc 1
1 Elektrotechnisches Institut (ETI), Karlsruher Institut für Technologie (KIT)

Abstract:

Model-predictive, field-oriented control of squirrel cage induction motors (SCIM) depends on the accurate identification and orientation of rotor and stator flux maps. In this paper, a new method is presented that utilizes the measured rotor time constant maps to reduce the orientation error of the identified flux maps. This enables the identification and modelling of the nonlinear and transient machine behavior, due to the estimation of the stator- and rotor-flux maps in dependence of stator and rotor currents.


Postprint §
DOI: 10.5445/IR/1000163095
Veröffentlicht am 17.10.2023
Originalveröffentlichung
DOI: 10.23919/EPE23ECCEEurope58414.2023.10264589
Scopus
Zitationen: 3
Dimensions
Zitationen: 3
Cover der Publikation
Zugehörige Institution(en) am KIT Elektrotechnisches Institut (ETI)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 04.09.2023
Sprache Englisch
Identifikator ISBN: 978-90-75815-41-2
KITopen-ID: 1000163095
Erschienen in 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe)
Veranstaltung 25th European Conference on Power Electronics and Applications (EPE`23 ECCE Europe 2023), Aalborg, Dänemark, 04.09.2023 – 08.09.2023
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Seiten 11 S.
Nachgewiesen in Dimensions
Scopus
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