Estimation of the External Performances of PMSM Using Artificial Neural Networks Based on FE Results

Abstract : A method that combines an artificial neural network (ANN) and the finite element method (FEM) is introduced for estimating the instantaneous electromotive force (EMF) of surface mounted permanent magnet motors. Using parallel supervised multilayer neural networks, the geometrical parameters of the motors are mapped to the phase EMF. The ANN is trained using the FEM data. The ANN model is then used in an iterative designing process to achieve high torque development capability with low magnet volume.
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Communication dans un congrès
Electrimacs 2008, Jun 2008, Québec, Canada. pp.CD ROM, 2008
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https://hal.archives-ouvertes.fr/hal-00329322
Contributeur : Christine Pierson <>
Soumis le : vendredi 10 octobre 2008 - 15:20:49
Dernière modification le : jeudi 18 janvier 2018 - 15:06:04

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  • HAL Id : hal-00329322, version 1

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Larbi Hadjout, Youcef Ouazir, L. Belguerras, Rachid Ibtiouen, Noureddine Takorabet. Estimation of the External Performances of PMSM Using Artificial Neural Networks Based on FE Results. Electrimacs 2008, Jun 2008, Québec, Canada. pp.CD ROM, 2008. 〈hal-00329322〉

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