<div class="csl-bib-body">
<div class="csl-entry">Rodriguez Montero, E., Vogelsberger, M. A., & Wolbank, T. M. (2022). Robust Saliency-Based Speed Sensorless Control of Induction Machines under Overload Operation. In <i>2022 International Conference on Electrical Machines (ICEM)</i> (pp. 586–591). https://doi.org/10.1109/ICEM51905.2022.9910761</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/209149
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dc.description.abstract
The stable vector control at very low speeds and standstill is only possible using saliency extraction methods. There exist specific designs that lead to induction machines having a significant rotor slotting saliency. The slotting signal, in interaction with the magnetic saturation saliency signal, generates unavoidably a further harmonic, often referred as intermodulation harmonic. In this sense, some motors can show three main harmonics: saturation, slotting and intermodulation. In available literature, intermodulation has been treated as a distortion and thus compensated using filtering or feed-forward methods. Yet, this paper proposes to employ the intermodulation saliency harmonic itself as control signal. Applying a voltage step excitation strategy to an induction motor, an intermodulation saliency vector will be acquired using the resulting phase current derivatives and signal processing. Experimental results measured on an induction motor will show that the intermodulation saliency harmonic can deliver a robust and very accurate rotor position, especially when operated in the overload range.
en
dc.language.iso
en
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dc.subject
Induction motors
en
dc.subject
Intermodulation distortion
en
dc.subject
Motor drives
en
dc.subject
Sensorless control
en
dc.title
Robust Saliency-Based Speed Sensorless Control of Induction Machines under Overload Operation
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.relation.isbn
978-1-6654-1432-6
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dc.relation.doi
10.1109/ICEM51905.2022.9910761
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dc.description.startpage
586
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dc.description.endpage
591
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
2022 International Conference on Electrical Machines (ICEM)
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tuw.peerreviewed
true
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tuw.researchTopic.id
C2
-
tuw.researchTopic.id
C6
-
tuw.researchTopic.id
C1
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tuw.researchTopic.name
Computational Fluid Dynamics
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tuw.researchTopic.name
Modeling and Simulation
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tuw.researchTopic.name
Computational Materials Science
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tuw.researchTopic.value
20
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tuw.researchTopic.value
20
-
tuw.researchTopic.value
60
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tuw.publication.orgunit
E370-02 - Forschungsbereich Elektrische Antriebe und Maschinen
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tuw.publisher.doi
10.1109/ICEM51905.2022.9910761
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dc.description.numberOfPages
6
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tuw.author.orcid
0000-0001-8835-1312
-
tuw.author.orcid
0000-0001-8823-5565
-
tuw.event.name
2022 International Conference on Electrical Machines (ICEM)
en
tuw.event.startdate
05-09-2022
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tuw.event.enddate
09.09.2022
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Valencia
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tuw.event.country
ES
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tuw.event.presenter
Rodriguez Montero, Eduardo
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wb.sciencebranch
Elektrotechnik, Elektronik, Informationstechnik
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wb.sciencebranch.oefos
2020
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wb.sciencebranch.value
100
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item.languageiso639-1
en
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item.openairetype
conference paper
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item.grantfulltext
none
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item.fulltext
no Fulltext
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item.cerifentitytype
Publications
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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crisitem.author.dept
E370-02 - Forschungsbereich Elektrische Antriebe und Maschinen
-
crisitem.author.dept
E370-02 - Forschungsbereich Elektrische Antriebe und Maschinen
-
crisitem.author.dept
E370-02 - Forschungsbereich Elektrische Antriebe und Maschinen
-
crisitem.author.orcid
0000-0001-8835-1312
-
crisitem.author.orcid
0000-0001-8823-5565
-
crisitem.author.parentorg
E370 - Institut für Energiesysteme und Elektrische Antriebe
-
crisitem.author.parentorg
E370 - Institut für Energiesysteme und Elektrische Antriebe
-
crisitem.author.parentorg
E370 - Institut für Energiesysteme und Elektrische Antriebe