Proper orthogonal decomposition for order reduction of permanent magnet machine model

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

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

8 Sitaatiot (Scopus)

Abstrakti

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.

AlkuperäiskieliEnglanti
OtsikkoProceedings of the 18th International Conference on Electrical Machines and Systems, ICEMS 2015
KustantajaIEEE
Sivut1945-1949
Sivumäärä5
ISBN (painettu)9781479988044
DOI - pysyväislinkit
TilaJulkaistu - 18 tammik. 2016
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInternational Conference on Electrical Machines and Systems - Pattaya City, Thaimaa
Kesto: 25 lokak. 201528 lokak. 2015
Konferenssinumero: 18
http://icems2015.com/

Conference

ConferenceInternational Conference on Electrical Machines and Systems
LyhennettäICEMS
Maa/AlueThaimaa
KaupunkiPattaya City
Ajanjakso25/10/201528/10/2015
www-osoite

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