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Flux Linkage-Based Model Predictive Current Control for Nonlinear PMSM Drives

  • In this paper, a flux linkage-based direct model predictive current control approach is presented for small permanent magnet synchronous motor (PMSM) drives. The method aims to minimize the current ripples at steady state by deciding on the optimal switching instant, while exhibiting fast dynamic behavior during transients. To this end, the future trajectory of the stator current is not computed based on the machine inductances or inductance look-up tables, but on the changes of the magnetic flux linkage by utilizing flux linkage maps. As shown, the proposed method can be particularly advantageous for electric drives with a noticeable nonlinearity in terms of saturation and/or cross-coupling effects since it allows for a significantly increased prediction accuracy, which leads to an improved steady-state performance as indicated by the reduced current distortions.

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Metadaten
Author:Sebastian Wendel, Petros Karamanakos, Armin Dietz, Ralph Kennel
DOI:https://doi.org/10.1109/iecon43393.2020.9254484
Parent Title (English):IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society
Publisher:IEEE
Document Type:conference proceeding (article)
Language:English
Date of first Publication:2022/11/18
Reviewed:Begutachtet/Reviewed
Release Date:2024/06/24
Tag:Couplings ; Switches; Predictive models ; Mathematical model ; Rotors ; Real-time systems ; Prediction algorithmso
institutes:Fakultät für Elektrotechnik Feinwerktechnik Informationstechnik
Institut für leistungselektronische Systeme ELSYS
Research Themes:Energie & Ressourcen
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