Record link: 
http://hdl.handle.net/20.500.12708/213091
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Title: 
Rotor Position Extraction of Dual Induction Motors at High Loads using Intermodulation Saliency
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Citation: 
Rodriguez Montero, E., Ertl, H., Wolbank, T. M., Vogelsberger, M., & Teppan, W. (2023). Rotor Position Extraction of Dual Induction Motors at High Loads using Intermodulation Saliency. In E. Rodriguez Montero (Ed.), PCIM Europe 2023; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management. VDE. https://doi.org/10.30420/566091163
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Publisher DOI: 
10.30420/566091163
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Rodriguez Montero, Eduardo 
Ertl, Hans 
Wolbank, Thomas M. 
Vogelsberger, Markus 
Teppan, Wolfram 
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Organisational Unit: 
E370-02 - Forschungsbereich Elektrische Antriebe und Maschinen 
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Published in: 
PCIM Europe 2023; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management 
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ISBN: 
9783800760916
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Date (published): 
2023
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Event name: 
PCIM Europe 2023; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management 
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Event date: 
9-May-2023 - 11-May-2023
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Event place: 
Nürnberg, Germany
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Number of Pages: 
7
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Publisher: 
VDE
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Peer reviewed: 
Yes
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Keywords: 
Induction motors
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Abstract: 
Induction motors often show several spatial saliencies that can be extracted via pulse excitation and current response analysis in order to obtain a control signal (rotor flux angle or rotor position), eliminating thus the need for a shaft encoder. The most common saliencies used for rotor flux or position estimation are the magnetic saturation and rotor-slotting. However, both saliencies can face stability issues when motor is operated at very high loads. In this work, intermodulation saliency is employed for rotor position estimation for a dual traction motor drive operating at heavy loads. Highly precise rotor position estimation will be verified by experimental results.
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Additional information: 
https://ieeexplore.ieee.org/document/10173261
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Research Areas: 
Modeling and Simulation: 50%
Computational System Design: 50%
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Science Branch: 
2020 - Elektrotechnik, Elektronik, Informationstechnik: 100%
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Appears in Collections:
Conference Paper

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