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

Allaa Eddine Boumesbah; Floran Martin; Guillaume Krebs; Anouar Belahcen; Claude Marchand

doi:10.1109/TMAG.2021.3059969

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 journal › Article › Scientific › peer-review

8 Citations (Scopus)

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Abstract

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 language	English
Article number	7400906
Number of pages	6
Journal	IEEE Transactions on Magnetics
Volume	57
Issue number	4
DOIs	https://doi.org/10.1109/TMAG.2021.3059969
Publication status	Published - Apr 2021
MoE publication type	A1 Journal article-refereed

Keywords

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

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10.1109/TMAG.2021.3059969

ELEC_Boumesbah_etal_Comparison of Model Order Reduction Methods for a Switched Reluctance Machine Characterization_IEEE_TMAG_2021Accepted author manuscript, 495 KB

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title = "Comparison of Model Order Reduction Methods for a Switched Reluctance Machine Characterization",

abstract = "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. ",

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AU - Marchand, Claude

PY - 2021/4

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AB - 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.

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

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