Optimized model based control for an outer rotor surface permanent magnet machine with temperature influence

Anton Tamas, Kesavan Ramakrishnan, Simon Wiedemann, Tamás Szabó, Claudia Steluta Martis, Gianpiero Mastinu, Ralph M. Kennel

Research output: Contribution to conferencePaperpeer-review

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.

Original languageEnglish
StatePublished - 2017
Event30th International Electric Vehicle Symposium and Exhibition, EVS 2017 - Stuttgart, Germany
Duration: 9 Oct 201711 Oct 2017

Conference

Conference30th International Electric Vehicle Symposium and Exhibition, EVS 2017
Country/TerritoryGermany
CityStuttgart
Period9/10/1711/10/17

Keywords

  • Control system
  • Efficiency
  • Prediction
  • Simulation
  • Synchronous motor

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