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> Fast computation of multi-parametric electromagnetic fields in synchronous machines by using pgd-based fully separated representations
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Fast computation of multi-parametric electromagnetic fields in synchronous machines by using pgd-based fully separated representations
Sancarlos A.
;
Ghnatios C.
;
Duval J.-L.
;
Zerbib N.
;
Cueto Prendes, E.
(Universidad de Zaragoza)
;
Chinesta F.
Resumen:
A novel Model Order Reduction (MOR) technique is developed to compute high-dimensional parametric solutions for electromagnetic fields in synchronous machines. Specifically, the intrusive version of the Proper Generalized Decomposition (PGD) is employed to simulate a Permanent-Magnet Synchronous Motor (PMSM). The result is a virtual chart allowing real-time evaluation of the magnetic vector potential as a function of the operation point of the motor, or even as a function of constructive parameters, such as the remanent flux in permanent magnets. Currently, these solutions are highly demanded by the industry, especially with the recent developments in the Electric Vehicle (EV). In this framework, standard discretization techniques require highly time-consuming simulations when analyzing, for instance, the noise and vibration in electric motors. The proposed approach is able to construct a virtual chart within a few minutes of off-line simulation, thanks to the use of a fully separated representation in which the solution is written from a series of functions of the space and parameters coordinates, with full space separation made possible by the use of an adapted geometrical mapping. Finally, excellent performances are reported when comparing the reduced-order model with the more standard and computationally costly Finite Element solutions. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Idioma:
Inglés
DOI:
10.3390/en14051454
Año:
2021
Publicado en:
Energies
14, 5 (2021), 1454 [17 pp]
ISSN:
1996-1073
Factor impacto JCR:
3.252 (2021)
Categ. JCR:
ENERGY & FUELS
rank: 80 / 119 = 0.672
(2021)
- Q3
- T3
Factor impacto CITESCORE:
5.0 -
Engineering
(Q1) -
Mathematics
(Q1) -
Energy
(Q2)
Factor impacto SCIMAGO:
0.653 -
Energy (miscellaneous)
(Q1) -
Energy Engineering and Power Technology
(Q1) -
Fuel Technology
(Q1) -
Control and Optimization
(Q1) -
Engineering (miscellaneous)
(Q1)
Tipo y forma:
Artículo (Versión definitiva)
Área (Departamento):
Área Mec.Med.Cont. y Teor.Est.
(
Dpto. Ingeniería Mecánica
)
Debe reconocer adecuadamente la autoría, proporcionar un enlace a la licencia e indicar si se han realizado cambios. Puede hacerlo de cualquier manera razonable, pero no de una manera que sugiera que tiene el apoyo del licenciador o lo recibe por el uso que hace.
Exportado de SIDERAL (2023-05-18-16:08:37)
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