Please use this identifier to cite or link to this item: doi:10.22028/D291-29545
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Title: Parameter identification of star-connected PMSMs by means of a sensorless technique
Author(s): König, Niklas
Grasso, Emanuele
Schuhmacher, Klaus
Nienhaus, Matthias
Language: English
Title: 2018 Thirteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)
Startpage: 1
Endpage: 7
Publisher/Platform: IEEE
Year of Publication: 2018
Title of the Conference: Thirteenth International Conference on Ecological Vehicles and Renewable Energies
Place of the conference: Monte-Carlo, Monaco
Publikation type: Conference Paper
Abstract: An important tool in the field of Permanent Magnet Synchronous Motors (PMSMs) is parameter identification, which allows for final stage inspection, adaptive control and condition monitoring. Common identification approaches require the PMSM to be mounted into a test-bench with encoders, which is complicated or not possible for some machines. In order to address this issue, this work combines a Recursive Least-Squares based parameter identification algorithm with the sensorless control technique Direct Flux Observer (DFO). The developed identification technique is implemented on a microcontroller and experimental results on different kind of PMSMs are shown and discussed.
DOI of the first publication: 10.1109/EVER.2018.8362359
URL of the first publication:
Link to this record: hdl:20.500.11880/28327
ISBN: 978-1-5386-5966-3
Date of registration: 20-Nov-2019
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Matthias Nienhaus
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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