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

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. Th...

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Veröffentlicht in:IEEE Energy Conversion Congress and Exposition S. 5009 - 5019
Hauptverfasser: Stos, Johannes, Geier, Leonard, Karayel, Akif, Decker, Simon, Liske, Andreas, Hiller, Marc
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 29.10.2023
Schlagworte:
Adaptation models
Electrically Excited Synchronous Machine
Flux Model
Heuristic algorithms
Induction Motor
Induction motors
MPC (Model-based Predictive Control)
Non-linear control
Permanent magnet motor
Permanent magnet motors
Prediction algorithms
Predictive models
Software
Synchronous motor
Synchronous Reluctance Machine
ISSN:2329-3748
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Zusammenfassung: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.
ISSN:2329-3748
DOI:10.1109/ECCE53617.2023.10362028