Comparison of Model Order Reduction Methods for a Switched Reluctance Machine Characterization

Allaa Eddine Boumesbah*, Floran Martin, Guillaume Krebs, Anouar Belahcen, Claude Marchand

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

6 Citations (Scopus)
90 Downloads (Pure)


In this article, an exhaustive comparison is presented between two types of model order reduction methods, namely the proper orthogonal decomposition (POD) and the orthogonal interpolation method (OIM), for the characterization of a switched reluctance machine. The purpose of the comparison is to find out the best practices for the design of the machine control parameters and strategy. The control design itself is not presented here, but the needed information is at the focus. The comparison is based on the computation time and the complexity of the reduced-order model as well as the accuracy of the needed data as compared with the one obtained from the full-order model. The results show that OIM is more efficient in terms of calculation time, especially when considering a nonlinear problem.

Original languageEnglish
Article number7400906
Number of pages6
JournalIEEE Transactions on Magnetics
Issue number4
Publication statusPublished - Apr 2021
MoE publication typeA1 Journal article-refereed


  • Finite element (FE)
  • model order reduction (MOR)
  • orthogonal interpolation method (OIM)
  • proper orthogonal decomposition (POD)
  • switched reluctance machine (SRM)


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