Please use this identifier to cite or link to this item: doi:10.22028/D291-29579
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Title: Estimation of Motor Winding Inductances based on a Sensorless Technique for the Observation of the Rotor Position
Author(s): Schwartz, Robert
Grasso, Emanuele
Nienhaus, Matthias
Editor(s): Nienhaus, Matthias
Language: English
Title: Innovative Klein- und Mikroantriebstechnik : Beiträge der 11. GMM/ETG-Fachtagung 27.-28. September 2017 in Saarbrücken
Startpage: 74
Endpage: 79
Publisher/Platform: VDE-Verlag
Year of Publication: 2017
Title of the Conference: IKMT-Tagung 2017 - 11. GMM/ETG-Fachtagung
Place of the conference: Saarbrücken, Germany
Publikation type: Conference Paper
Abstract: This paper analyses the characterization of the electrical symmetry of ironless motor windings by using a technique that has been typically used for sensorless control of motors. In particular, such technique allows the observation of the rotor position of Permanent Magnet Synchronous Machines (PMSMs). This method has been extended to a test-bench application for measuring the rotor dependent inductance ratios in the individual strands of the machine. After an introductory explanation of the measurement principle, the developed electrical circuit as well as the mechanical construction of the test-bench are presented. Moreover, with regard to a suitable design of the magnetic circuit, measurement results on selected ironless windings are discussed. A first evaluation of the results shows that significant information is obtained concerning the winding symmetry especially considering the high repeatability of the chosen measurement technique. Furthermore, the latter allows short circuits within the motor winding to be detected.
URL of the first publication: https://www.vde-verlag.de/proceedings-de/454461012.html
Link to this record: hdl:20.500.11880/28326
http://dx.doi.org/10.22028/D291-29579
ISBN: 978-3-8007-4461-9
Date of registration: 20-Nov-2019
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Matthias Nienhaus
Collections:UniBib – Die Universitätsbibliographie

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