Statistical Deviation of High-Frequency Lumped Model Parameters for Stator Windings in Three-Phase Electrical Machines

Autor: Alexander Hoffmann, Bernd Ponick
Rok vydání: 2020
Předmět:
Zdroj: 2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM).
DOI: 10.1109/speedam48782.2020.9161915
Popis: This paper presents parametric models for high-frequency common- and differential-mode impedance analysis of electrical machines. The models are presented in terms of lumped equivalent circuit diagrams and their corresponding complex impedance equations. In order to parameterize the models, the differential evolution algorithm is used and a minimisation problem is defined. For model validation, the complex model impedance is compared to the measured impedance of eleven electrical machines of the same type. Furthermore, the lumped equivalent circuit parameters are individually identified for every single electrical machine and the resulting data is statistically interpreted. Moreover, detailed geometry and stator winding data as well as insulation material data of the investigated electrical machine are given. The intention is to enable more accurate simulations for EMC and insulation stress investigations as well as for filter and inverter designs.
Databáze: OpenAIRE