A phase based approach for machine inductance estimation via current slope detection of an inverter fed IPMSM
- The following describes a new method for estimating the parameters of an interior permanent magnet synchronous machine (IPMSM). For the estimation of the parameters the current slopes caused by the switching of the inverter are used to determine the unknowns of the system equations of the electrical machine. The angle and current dependence of the machine parameters are linearized within a PWMThe following describes a new method for estimating the parameters of an interior permanent magnet synchronous machine (IPMSM). For the estimation of the parameters the current slopes caused by the switching of the inverter are used to determine the unknowns of the system equations of the electrical machine. The angle and current dependence of the machine parameters are linearized within a PWM cycle. By considering the different switching states of the inverter, several system equations can be derived and a solution can be found within one PWM cycle. The use of test signals and filter-based approaches is avoided. The derived algorithm is explained and validated with measurements on a test bench.…
Document Type: | Conference Proceeding |
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Conference Type: | Konferenzartikel |
Zitierlink: | https://opus.hs-offenburg.de/5207 | Bibliografische Angaben |
Title (English): | A phase based approach for machine inductance estimation via current slope detection of an inverter fed IPMSM |
Conference: | ICIT: IEEE International Conference on Industrial Technology (22. : 10-12 March 2021 : Valencia Conference Centre - Online) |
Author: | Jan Philipp DegelStaff MemberORCiDGND, Stefan HähnleinStaff MemberORCiD, Christian KlöfferStaff MemberGND, Martin Doppelbauer |
Year of Publication: | 2021 |
Place of publication: | New York |
Publisher: | IEEE |
First Page: | 134 |
Last Page: | 141 |
Parent Title (English): | Proceedings : IEEE International Conference on Industrial Technology (ICIT) |
ISBN: | 978-1-7281-5730-6 (elektronisch) |
ISBN: | 978-1-7281-5729-0 (USB) |
ISBN: | 978-1-7281-5731-3 (Print on Demand) |
DOI: | https://doi.org/10.1109/ICIT46573.2021.9453555 |
URL: | https://ieeexplore.ieee.org/document/9453555 |
Language: | English | Inhaltliche Informationen |
Institutes: | Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019) |
Institutes: | Bibliografie | Formale Angaben |
Open Access: | Closed Access |
Licence (German): | Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International |