Fast model of a Hybrid Excitation Synchronous Machine using equivalent reluctance networks for parameter design - G2Elab-Electronique de puissance
Communication Dans Un Congrès Année : 2024

Fast model of a Hybrid Excitation Synchronous Machine using equivalent reluctance networks for parameter design

Résumé

The paper deals with a modeling approach for a hybrid excitation synchronous machine using equivalent reluctance networks. From a finite element modeling (used as a reference model), it aims to define a computationally efficient model suitable for integration with optimization algorithms. Therefore, it propose to perform a parameter design model of the electrical machine. One of the main ideas is to have a model enabling the machine design with or without permanent magnet. Firstly, the paper depicts the geometric parameterization of the machine. Then, it presents the development of a reluctance network model. This approach offers a compromise between accuracy and computational efficiency, making it suitable for future optimization tasks in the design and control of synchronous machines.

Fichier principal
Vignette du fichier
ECCE2024 Quentin LOEUILLET.pdf (1.58 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04768618 , version 1 (06-11-2024)

Identifiants

  • HAL Id : hal-04768618 , version 1

Citer

Quentin Loeuillet, Christian Chillet, Laurent Gerbaud, Jean-Claude Mipo, Jean-Luc Schanen. Fast model of a Hybrid Excitation Synchronous Machine using equivalent reluctance networks for parameter design. IEEE Energy Conversion Congress & Expo (ECCE) 2024, Oct 2024, Phoenix, United States. ⟨hal-04768618⟩
0 Consultations
0 Téléchargements

Partager

More