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Unified predictive flux control for EESM, IM, PMSM and SyRM

Stoß, Johannes ORCID iD icon 1; Geier, Leonard 2; Karayel, Akif 2; Decker, Simon 2; Liske, Andreas 1; Hiller, Marc 1
1 Elektrotechnisches Institut (ETI), Karlsruher Institut für Technologie (KIT)
2 Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

This paper describes a new method for a high dynamic and nonlinear unified model predictive control of induction motors (IM), permanent magnet synchronous machines (PMSM), synchronous reluctance machines (SyRM) and electrically excited synchronous machines (EESM) using the same control algorithm. This is enabled by a unified nonlinear machine model that allows the described machines to be modelled and controlled basically as a variation of the EESM. This allows simple and fast adaptation of drive systems to new motors as only the model parameters of the control system need to be adjusted. By eliminating the need to customize the code base for individual machine types, software platforms can be simplified to handle even large product ranges cost-effectively.


Originalveröffentlichung
DOI: 10.1109/ecce53617.2023.10362028
Scopus
Zitationen: 1
Dimensions
Zitationen: 1
Zugehörige Institution(en) am KIT Elektrotechnisches Institut (ETI)
Publikationstyp Proceedingsbeitrag
Publikationsmonat/-jahr 12.2023
Sprache Englisch
Identifikator ISBN: 979-8-3503-1645-2
ISSN: 2329-3721
KITopen-ID: 1000166934
Erschienen in 2023 IEEE Energy Conversion Congress and Exposition (ECCE), Nashville, TN, 29th October - 2nd November 2023
Veranstaltung IEEE Energy Conversion Congress and Exposition (ECCE 2023), Nashville, TN, USA, 29.10.2023 – 02.11.2023
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Seiten 5009–5019
Vorab online veröffentlicht am 29.12.2023
Nachgewiesen in Dimensions
Scopus
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