Please use this identifier to cite or link to this item: doi:10.22028/D291-37920
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Title: Performance Comparison of Different Estimation Techniques of the External Load-torque applied on a PMSM using Direct Flux Control
Author(s): Fabbri, Stefano
D'Amato, Davide
Palmieri, Marco
Cupertino, Francesco
Nienhaus, Matthias
Grasso, Emanuele
Language: English
Title: SPEEDAM 2020 proceedings : International Symposium on Power Electronics, Electrical Drives and Motion : virtual meeting, June 24th-June 26th
Pages: 688-693
Publisher/Platform: IEEE
Year of Publication: 2020
Free key words: Kalman filter
robust filtering
sensorless control
embedded drive system
load-torque estimation
DDC notations: 500 Science
Publikation type: Conference Paper
Abstract: This work presents a comparison between three classical observation techniques for the estimation of the external load-torque of a low power PMSM, namely an extended Kalman filter, an unscented Kalman filter and an H∞ filter. The aim of this paper is to define how the load-torque estimation behaves as a sensorless control technique is generating the angular position and speed signals of the electrical machine. The obtained results are evaluated in order to determine which filter is the most suitable to be implemented on an embedded system.
DOI of the first publication: 10.1109/SPEEDAM48782.2020.9161858
URL of the first publication: https://doi.org/10.1109/SPEEDAM48782.2020.9161858
Link to this record: urn:nbn:de:bsz:291--ds-379207
hdl:20.500.11880/34284
http://dx.doi.org/10.22028/D291-37920
ISBN: 978-1-7281-7019-0
Date of registration: 9-Nov-2022
Notes: 2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), 24-26 June 2020
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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