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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.show moreshow less

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Author:Jan Philipp DegelGND, Stefan Hähnlein, Christian KlöfferGND, Martin Doppelbauer
Publisher:IEEE
Place of publication:New York
Year of Publication:2021
ISBN:978-1-7281-5730-6 (elektronisch)
ISBN:978-1-7281-5729-0 (USB)
ISBN:978-1-7281-5731-3 (Print on Demand)
Language:English
Parent Title (English):Proceedings : IEEE International Conference on Industrial Technology (ICIT)
First Page:134
Last Page:141
Document Type:Conference Proceeding
Institutes:Bibliografie
Open Access:Zugriffsbeschränkt
Release Date:2022/01/13
Licence (German):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International
Note:
Konferenz: 22nd IEEE International Conference on Industrial Technology (ICIT), Valencia Conference Centre - Online, 10-12 March 2021
URL:https://ieeexplore.ieee.org/document/9453555
DOI:https://doi.org/10.1109/ICIT46573.2021.9453555