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doi:10.22028/D291-37920
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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