Fast model of a Hybrid Excitation Synchronous Machine using equivalent reluctance networks for parameter design - G2ELab
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.

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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⟩
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