Global Quantities Computation Using Mesh-Based Generated Reluctance Networks

This aim of this paper is to assess the efficacy of mesh-based generated reluctance network (MGRN) modeling for the performance evaluation of a permanent magnet linear machine under load conditions. In the previous publications related to the use of this modeling technique, only approach implementat...

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Veröffentlicht in:IEEE transactions on magnetics 2018-11, Vol.54 (11), p.1-4
Hauptverfasser: Asfirane, S., Hlioui, S., Amara, Y., De La Barriere, O., Barakat, G., Gabsi, M.
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Sprache:eng
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Zusammenfassung:This aim of this paper is to assess the efficacy of mesh-based generated reluctance network (MGRN) modeling for the performance evaluation of a permanent magnet linear machine under load conditions. In the previous publications related to the use of this modeling technique, only approach implementation under an open-circuit performance has been assessed. The MGRN approach is based on the discretization of the geometry using elementary reluctance blocks (reluctance elements). This modeling technique has been implemented in a software tool that allows the automated processing of an arbitrary geometry providing a gain in model development durations. Validation of the MGRN model has been realized by comparison with a finite element analysis (FEA). Comparisons showed that both local and global quantities evaluated by MGRN and FEA are in excellent agreement.
ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2018.2829155