Identification and Approximation of Time Variant Parameters of the Electric Model of Permanent Magnet Synchronous Machines
Conference: IKMT 2019 – Innovative Klein- und Mikroantriebstechnik - 12. ETG/GMM-Fachtagung
09/10/2019 - 09/11/2019 at Würzburg, Deutschland
Proceedings: ETG-Fb 159: IKMT 2019
Pages: 6Language: englishTyp: PDF
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Authors:
Wilcken, Nils; Fraeger, Carsten; Grotjahn, Martin (Institut für Konstruktionselemente, Mechatronik und Elektromobilität IKME, University of Applied Sciences and Arts, Hannover, Germany)
Abstract:
In this paper, the parametrization of the fundamental wave model and the model for high frequency voltage excitation (HF-Modell) of a permanent magnet excited synchronous machine (PMSM) are presented. Saturation-dependent machine parameters are identified and approximated. This includes a selection of useful mathematical functions as basis, and an optimization algorithm for the approximation. Moreover the results of identification and approximation are made plausible in terms of physical aspects. Finally, the estimated state variables are shown and evaluated by means of measurements.