Abstract
This paper presents the optimization of a model based control for a Surface Permanent Magnet Synchronous Machine. Model Predictive Control and Field Oriented Control methods are considered. The thermal and the saturation effects on the model parameters are captured. Based on the results of MOTORCAD software, functional dependencies of armature resistance, inductance, flux linkage and core loss vs. stator current, operating frequency, magnet and winding temperature are created and then used in the control model. Furthermore, the paper highlights how the thermal model enhances the Model Predictive Control performance regarding the parameter variation as a function of temperature.
Originalsprache | Englisch |
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Publikationsstatus | Veröffentlicht - 2017 |
Veranstaltung | 30th International Electric Vehicle Symposium and Exhibition, EVS 2017 - Stuttgart, Deutschland Dauer: 9 Okt. 2017 → 11 Okt. 2017 |
Konferenz
Konferenz | 30th International Electric Vehicle Symposium and Exhibition, EVS 2017 |
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Land/Gebiet | Deutschland |
Ort | Stuttgart |
Zeitraum | 9/10/17 → 11/10/17 |