<div class="csl-bib-body">
<div class="csl-entry">Rodriguez Montero, E., Vogelsberger, M., & Wolbank, T. (2022). One Active State Excitation for Saliency-based Encoderless Control of Dual Motors Supplied by a Single Inverter. In <i>IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society</i> (pp. 1–6).</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/209166
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dc.description.abstract
The extraction of motor spatial saliencies permits stable control at standstill and nearby speeds. One technique to extract saliencies is to excite the motor with voltage steps and process the resulting phase current slopes to form a saliency vector. Yet, the additional voltage steps produce unwanted current ripple and increase audible noise. Therefore, voltage steps have been recently integrated into the space vector PWM symmetrical switching scheme, defined at each period by two adjacent active states and two inactive states. In this paper, only the longest active state is used for saliency extraction. The novelty of this paper lies in the application of the one-active SVPWM excitation to a parallel dual motor configuration supplied by a single inverter and using a reduced current sensor configuration. This configuration consists of only three current sensors, two sensors attached to two phases of one motor, and a single sensor attached to the second motor. A novel signal processing scheme is presented in this paper to extract the saliencies of each motor individually under one-active SVPWM excitation. Experimental results demonstrate the ability of the proposed technique for dual motor saliency extraction under one-active space vector PWM excitation and using the special current sensor configuration.
en
dc.language.iso
en
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dc.subject
Induction Motor
en
dc.subject
Sensorless Control
en
dc.subject
Signal Processing Algorithms
en
dc.title
One Active State Excitation for Saliency-based Encoderless Control of Dual Motors Supplied by a Single Inverter
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
Alstom (Austria), Austria
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dc.relation.isbn
978-1-6654-8025-3
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dc.description.startpage
1
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dc.description.endpage
6
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society
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tuw.peerreviewed
true
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tuw.researchTopic.id
C2
-
tuw.researchTopic.id
C6
-
tuw.researchTopic.id
C1
-
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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dc.description.numberOfPages
6
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tuw.author.orcid
0000-0001-8835-1312
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tuw.event.name
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society
en
tuw.event.startdate
17-10-2022
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tuw.event.enddate
20-10-2022
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tuw.event.online
Hybrid
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tuw.event.type
Event for scientific audience
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tuw.event.place
Brussels
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tuw.event.country
BE
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tuw.event.presenter
Rodriguez Montero, Eduardo
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tuw.event.track
Multi Track
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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
-
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