Title :

Estimation of FEM Model Parameters Using Data Assimilation and Its Application to an Electrical Machine

Author(s) :

bacchus, Alexandre [Auteur]
13338|||Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
Tounzi, Abdelmounaim [Auteur]
Laboratoire d'Électrotechnique et d'Électronique de Puissance (L2EP) - ULR 2697
Argaud, Jean-Philippe [Auteur]
Bouriquet, Bertrand [Auteur]
Biet, Mélisande [Auteur]
Le Menach, Yvonnick [Auteur]
Laboratoire d'Électrotechnique et d'Électronique de Puissance (L2EP) - ULR 2697

Journal title :

IEEE Transactions on Magnetics

Publisher :

Institute of Electrical and Electronics Engineers

Publication date :

2015-10-16

ISSN :

0018-9464

English keyword(s) :

Data assimilation
electrical machine
measurement probes
numerical simulation

HAL domain(s) :

Science non linéaire [physics]
Informatique [cs]

English abstract : [en]

The goal of this paper is to identify the parameter set of a given electrical machine. The identification method is based on data assimilation coupled with FEM model. Data assimilation method is an optimization approach ...
Show more >The goal of this paper is to identify the parameter set of a given electrical machine. The identification method is based on data assimilation coupled with FEM model. Data assimilation method is an optimization approach that limits the space of candidate parameter sets by centering it around those of the ideal machine. An application to an electrical machine is presented based on the analysis of flux sensor signals. The methodology is validated by using twin experiments that consider simulated data and tested considering measurements extracted from the ”real” alternator.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

• Laboratoire d'Électrotechnique et d'Électronique de Puissance (L2EP) - ULR 2697

Research team(s) :

Équipe Outils et Méthodes Numériques

Submission date :

2020-05-15T14:02:13Z
2022-03-01T15:37:12Z
2022-03-16T07:32:18Z