Proper orthogonal decomposition for order reduction of permanent magnet machine model

M. Farzamfar; P. Rasilo; F. Martin; A. Belahcen

doi:10.1109/ICEMS.2015.7385359

Proper orthogonal decomposition for order reduction of permanent magnet machine model

M. Farzamfar^*, P. Rasilo, F. Martin, A. Belahcen

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

8 Citations (Scopus)

Abstract

Model order reduction is an approach for reducing size, complexity, and computation cost of mathematical models in numerical simulations. This paper describes the application of proper orthogonal decomposition method, as one of the most efficient model order reduction techniques, in generating lower dimensional model of a permanent magnet machine. In proper orthogonal decomposition, data collected from high-dimensional numerical simulations (called snapshots) are projected onto a set of orthonormal basis functions. Thereafter, these basis functions are combined with the original model equations to build a reduced order model. The comparison of computational results of the original model with the reduced model indicates that the reduced model is able to accurately reproduce both local and global operation quantities of the machine under investigation.

Original language	English
Title of host publication	Proceedings of the 18th International Conference on Electrical Machines and Systems, ICEMS 2015
Publisher	IEEE
Pages	1945-1949
Number of pages	5
ISBN (Print)	9781479988044
DOIs	https://doi.org/10.1109/ICEMS.2015.7385359
Publication status	Published - 18 Jan 2016
MoE publication type	A4 Conference publication
Event	International Conference on Electrical Machines and Systems - Pattaya City, Thailand Duration: 25 Oct 2015 → 28 Oct 2015 Conference number: 18 http://icems2015.com/

Conference

Conference	International Conference on Electrical Machines and Systems
Abbreviated title	ICEMS
Country/Territory	Thailand
City	Pattaya City
Period	25/10/2015 → 28/10/2015
Internet address	http://icems2015.com/

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10.1109/ICEMS.2015.7385359

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title = "Proper orthogonal decomposition for order reduction of permanent magnet machine model",

abstract = "Model order reduction is an approach for reducing size, complexity, and computation cost of mathematical models in numerical simulations. This paper describes the application of proper orthogonal decomposition method, as one of the most efficient model order reduction techniques, in generating lower dimensional model of a permanent magnet machine. In proper orthogonal decomposition, data collected from high-dimensional numerical simulations (called snapshots) are projected onto a set of orthonormal basis functions. Thereafter, these basis functions are combined with the original model equations to build a reduced order model. The comparison of computational results of the original model with the reduced model indicates that the reduced model is able to accurately reproduce both local and global operation quantities of the machine under investigation.",

author = "M. Farzamfar and P. Rasilo and F. Martin and A. Belahcen",

year = "2016",

month = jan,

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doi = "10.1109/ICEMS.2015.7385359",

language = "English",

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pages = "1945--1949",

booktitle = "Proceedings of the 18th International Conference on Electrical Machines and Systems, ICEMS 2015",

publisher = "IEEE",

address = "United States",

note = "International Conference on Electrical Machines and Systems, ICEMS ; Conference date: 25-10-2015 Through 28-10-2015",

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}

Farzamfar, M, Rasilo, P, Martin, F & Belahcen, A 2016, Proper orthogonal decomposition for order reduction of permanent magnet machine model. in Proceedings of the 18th International Conference on Electrical Machines and Systems, ICEMS 2015., 7385359, IEEE, pp. 1945-1949, International Conference on Electrical Machines and Systems, Pattaya City, Thailand, 25/10/2015. https://doi.org/10.1109/ICEMS.2015.7385359

Proper orthogonal decomposition for order reduction of permanent magnet machine model. / Farzamfar, M.; Rasilo, P.; Martin, F. et al.
Proceedings of the 18th International Conference on Electrical Machines and Systems, ICEMS 2015. IEEE, 2016. p. 1945-1949 7385359.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Proper orthogonal decomposition for order reduction of permanent magnet machine model

AU - Farzamfar, M.

AU - Rasilo, P.

AU - Martin, F.

AU - Belahcen, A.

N1 - Conference code: 18

PY - 2016/1/18

Y1 - 2016/1/18

N2 - Model order reduction is an approach for reducing size, complexity, and computation cost of mathematical models in numerical simulations. This paper describes the application of proper orthogonal decomposition method, as one of the most efficient model order reduction techniques, in generating lower dimensional model of a permanent magnet machine. In proper orthogonal decomposition, data collected from high-dimensional numerical simulations (called snapshots) are projected onto a set of orthonormal basis functions. Thereafter, these basis functions are combined with the original model equations to build a reduced order model. The comparison of computational results of the original model with the reduced model indicates that the reduced model is able to accurately reproduce both local and global operation quantities of the machine under investigation.

AB - Model order reduction is an approach for reducing size, complexity, and computation cost of mathematical models in numerical simulations. This paper describes the application of proper orthogonal decomposition method, as one of the most efficient model order reduction techniques, in generating lower dimensional model of a permanent magnet machine. In proper orthogonal decomposition, data collected from high-dimensional numerical simulations (called snapshots) are projected onto a set of orthonormal basis functions. Thereafter, these basis functions are combined with the original model equations to build a reduced order model. The comparison of computational results of the original model with the reduced model indicates that the reduced model is able to accurately reproduce both local and global operation quantities of the machine under investigation.

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DO - 10.1109/ICEMS.2015.7385359

M3 - Conference article in proceedings

AN - SCOPUS:84966577715

SN - 9781479988044

SP - 1945

EP - 1949

BT - Proceedings of the 18th International Conference on Electrical Machines and Systems, ICEMS 2015

PB - IEEE

T2 - International Conference on Electrical Machines and Systems

Y2 - 25 October 2015 through 28 October 2015

ER -

Proper orthogonal decomposition for order reduction of permanent magnet machine model

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