Record link: 
http://hdl.handle.net/20.500.12708/215624
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Title: 
Iterative learning-based online calibration of a position sensor system for permanent magnet linear synchronous motors
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Citation: 
Fuchs, G., Deutschmann-Olek, A., Kugi, A., & Kemmetmüller, W. (2024). Iterative learning-based online calibration of a position sensor system for permanent magnet linear synchronous motors. In IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society (pp. 1–8). https://doi.org/10.1109/IECON55916.2024.10905609
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Publisher DOI: 
10.1109/IECON55916.2024.10905609
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Fuchs, Gerd 
Deutschmann-Olek, Andreas 
Kugi, Andreas 
Kemmetmüller, Wolfgang 
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Organisational Unit: 
E376-02 - Forschungsbereich Komplexe Dynamische Systeme 
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Published in: 
IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society 
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ISBN: 
978-1-6654-6454-3
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Date (published): 
2024
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Event name: 
50th Annual Conference of the IEEE Industrial Electronics Society 
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Event date: 
3-Nov-2024 - 6-Nov-2024
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Event place: 
Chicago, IL, United States of America (the)
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Number of Pages: 
8
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Peer reviewed: 
Yes
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Keywords: 
Permanent magnet linear synchronous motor (PMLSM); online sensor calibration; position sensor; Iterative Learning Control (ILC)
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Research Areas: 
Mathematical and Algorithmic Foundations: 60%
Modeling and Simulation: 40%
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Science Branch: 
2020 - Elektrotechnik, Elektronik, Informationstechnik: 100%
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Appears in Collections:
Conference Paper

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