Accurate Magnetic Characterization Based Model Development for Switched Reluctance Machine

Authors

  • Mahmoud Hamouda
    Affiliation
    Department of Electric Power Engineering, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, H-1521 Budapest, P.O.B. 91, Hungary; Electrical Engineering Department, Faculty of Engineering, Mansoura University, 35516 Mansoura, El Gomhouria street 25, Egypt
  • László Számel
    Affiliation
    Department of Electric Power Engineering, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, H-1521 Budapest, P.O.B. 91, Hungary
https://doi.org/10.3311/PPee.14012

Abstract

High performance control and analysis of switched reluctance machines (SRMs) require accurate modeling of their magnetic characteristics. However, the doubly salient structure and deep magnetic saturation make it very complicated to accurately model SRMs. This paper presents a high fidelity model development for SRMs. The model is developed based on the experimental measurement of flux-linkage and torque characteristics. The introduced measurement noises / errors are investigated carefully. Then several post-processes are achieved to reduce these noises. The measurement accuracy is verified by three methods: finite element method (FEM), search coil comparison, and LCR meter. The measured data are employed after proper rearrangement to build a dynamic MATLAB simulation model for the tested 8/6 machine. The model accuracy and dependability is achieved experimentally.

Keywords:

switched reluctance machines, magnetic characteristics, measurement, verification, modeling, MATLAB simulation

Citation data from Crossref and Scopus

Published Online

2019-06-17

How to Cite

Hamouda, M., Számel, L. “Accurate Magnetic Characterization Based Model Development for Switched Reluctance Machine”, Periodica Polytechnica Electrical Engineering and Computer Science, 63(3), pp. 202–212, 2019. https://doi.org/10.3311/PPee.14012

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Articles