Orthogonal Interpolation Method for Order Reduction of a Synchronous Machine Model

Mehrnaz Farzam Far, Floran Martin, Anouar Belahcen, Laurent Montier, Thomas Henneron

Research output: Contribution to journalArticleScientificpeer-review

20 Citations (Scopus)


This paper introduces an interpolation method based on snapshot approach to reduce the order of a nonlinear model for magnetostatic problems and facilitate the evaluation of the corresponding system of equations. The solution of the reduced model for a set of given inputs is built by interpolating the right singular vectors, obtained from singular value decomposition of snapshots. To validate the efficiency of this method, this reduced model is compared with full-order finite-element model. Furthermore, the proposed method is analyzed with respect to a more conventional model order reduction that is combined with the discrete empirical interpolation method. The orthogonal interpolation method is the most effective method to reduce model of an interior permanent magnet synchronous machine especially in term of computational time.

Original languageEnglish
Article number8241405
JournalIEEE Transactions on Magnetics
Issue number2
Publication statusPublished - Feb 2018
MoE publication typeA1 Journal article-refereed


  • Discrete empirical interpolation
  • interpolation
  • magnetostatic field
  • model order reduction (MOR)
  • permanent magnet (PM) synchronous machine
  • proper orthogonal decomposition (POD)


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