Model order reduction applied to the numerical study of electrical motor based on POD method taking into account rotation movement
dc.contributor.author
hal.structure.identifier | HENNERON, Thomas
|
dc.contributor.author
hal.structure.identifier | CLENET, Stéphane
|
dc.date.accessioned | 2015 |
dc.date.available | 2015 |
dc.date.issued | 2014 |
dc.date.submitted | 2014 |
dc.identifier.issn | 0894-3370 |
dc.identifier.uri | http://hdl.handle.net/10985/9559 |
dc.description.abstract | In order to reduce the computation time and the memory resources required to solve an electromagnetic field problem, Model Order Reduction (MOR) approaches can be applied to reduce the size of the linear equation system obtained after discretisation. In the literature, the Proper Orthogonal Decomposition (POD) is widely used in engineering. In this paper, we propose to apply the POD in the case of a Finite Element problem accounting for the movement. The efficiency of this method is evaluated by considering an electrical motor and by comparing with the full model in terms of computational time and accuracy. |
dc.language.iso | en |
dc.publisher | Wiley |
dc.rights | Post-print |
dc.subject | Model Order Reduction |
dc.subject | Electrical Machines |
dc.subject | POD |
dc.subject | Movement |
dc.subject | Finite Element Method |
dc.title | Model order reduction applied to the numerical study of electrical motor based on POD method taking into account rotation movement |
dc.identifier.doi | 10.1002/jnm.1964 |
dc.typdoc | Article dans une revue avec comité de lecture |
dc.localisation | Centre de Lille |
dc.subject.hal | Mathématique: Analyse numérique |
dc.subject.hal | Sciences de l'ingénieur: Electromagnétisme |
dc.subject.hal | Sciences de l'ingénieur: Energie électrique |
ensam.audience | Non spécifiée |
ensam.page | 485-494 |
ensam.journal | International Journal of Numerical Modelling: Electronic Networks, Devices and Fields |
ensam.volume | 27 |
ensam.issue | 3 |
hal.identifier | hal-01163842 |
hal.version | 1 |
hal.status | accept |
dc.identifier.eissn | 1099-1204 |