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Design and Analysis of an Extended Kalman-Filter for Self-Sensing of a Synchronous Reluctance Motor with Connected Inverter Output Filter

Kappes, Philipp ; Krüger, Immanuel ; Griepentrog, Gerd (2019)
Design and Analysis of an Extended Kalman-Filter for Self-Sensing of a Synchronous Reluctance Motor with Connected Inverter Output Filter.
21st European Conference on Power Electronics and Applications. Genova, Italy (03.09.2019-05.09.2019)
doi: 10.23919/EPE.2019.8915424
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

For self-sensing control of a synchronous reluctance machine connected to the inverter via a LC-filter an extended Kalman-Filter is designed in this paper. Thereby, only the inverter output current is measured. The parameters of the extended Kalman-Filter (EKF) are chosen by a brute-force optimization approach with a multiple quality criteria. For implementation purpose, the discretization of the observer is discussed. The functionality of the optimized parameter set is investigated in simulated closed loop self-sensing control.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2019
Autor(en): Kappes, Philipp ; Krüger, Immanuel ; Griepentrog, Gerd
Art des Eintrags: Bibliographie
Titel: Design and Analysis of an Extended Kalman-Filter for Self-Sensing of a Synchronous Reluctance Motor with Connected Inverter Output Filter
Sprache: Englisch
Publikationsjahr: 28 November 2019
Verlag: IEEE
Buchtitel: 2019 21st European Conference on Power Electronics and Applications (EPE '19 ECCE Europe)
Veranstaltungstitel: 21st European Conference on Power Electronics and Applications
Veranstaltungsort: Genova, Italy
Veranstaltungsdatum: 03.09.2019-05.09.2019
DOI: 10.23919/EPE.2019.8915424
Kurzbeschreibung (Abstract):

For self-sensing control of a synchronous reluctance machine connected to the inverter via a LC-filter an extended Kalman-Filter is designed in this paper. Thereby, only the inverter output current is measured. The parameters of the extended Kalman-Filter (EKF) are chosen by a brute-force optimization approach with a multiple quality criteria. For implementation purpose, the discretization of the observer is discussed. The functionality of the optimized parameter set is investigated in simulated closed loop self-sensing control.

Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Stromrichtertechnik und Antriebsregelung
Hinterlegungsdatum: 18 Jul 2022 07:32
Letzte Änderung: 08 Aug 2022 09:05
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