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Titel:

Computationally Efficient Finite-Set Model Predictive Current Control of Interior Permanent Magnet Synchronous Motors with Model-Based Online Inductance Estimation

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Issa Hammoud; Sebastian Hentzelt; Thimo Oehlschlaegel; Ralph Kennel Institute for Electrical Drive Systems and Power Electronics, Technical University of Munich (TUM), Munich, Germany
Abstract:
In this paper, solutions to the main drawbacks of the traditional finite-set model predictive current control (FS-MPCC) of interior permanent magnet synchronous motors (IPMSM) are proposed. These drawbacks are: high computational load and high sensitivity to any model mismatch. The proposed computationally efficient FS-MPCC is based on finding the optimal voltage vector (VV) that would enhance the flow of the desired currents analytically. Based on its location in the stationary α- β plane, only...     »
Kongress- / Buchtitel:
Proceedings of the 2019 IEEE Conference on Power Electronics and Renewable Energy (CPERE)
Datum der Konferenz:
23-25 Oct. 2019
Verlag / Institution:
IEEE
Publikationsdatum:
06.02.2020
Jahr:
2020
Quartal:
1. Quartal
Jahr / Monat:
2020-02
Monat:
Feb
Print-ISBN:
978-1-7281-0911-4
E-ISBN:
978-1-7281-0910-7
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.1109/CPERE45374.2019.8980058
Semester:
WS 20-21
TUM Einrichtung:
Lehrstuhl für Elektrische Antriebssysteme und Leistungselektronik
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