Embedded multilevel optimization for nonlinear time-stepping mesh-based reluctance network - COCODI - Equipe Conception, Commande et Diagnostic Accéder directement au contenu
Communication Dans Un Congrès Année : 2013

Embedded multilevel optimization for nonlinear time-stepping mesh-based reluctance network

Résumé

This paper presents an original methodology for machine design. The methodology is based on nonlinear reluctance network modeling and multilevel surrogate based optimization. The reluctance network is solved by computing the meshes magnetic flux and its topology is updated for each rotor position. In order to achieve an optimal design, in terms of satisfying some specifications, a surrogate based optimization inspired from the Space Mapping (SM) technique is considered. Optimization is held on the linear model and is iteratively corrected, through a new embedded strategy, by the nonlinear one. Finally, the proposed application is a constrained minimization of axial flux machine losses on an artemis cycles.
Fichier principal
Vignette du fichier
HAGEHASSAN_MAYA_COMPUMAG_V9.pdf (363.03 Ko) Télécharger le fichier
Poster_compumag_V3.pdf (1.04 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01677537 , version 1 (11-03-2020)

Identifiants

  • HAL Id : hal-01677537 , version 1

Citer

Maya Hage-Hassan, Guillaume Krebs, Ghislain Remy, Claude Marchand. Embedded multilevel optimization for nonlinear time-stepping mesh-based reluctance network. 2013 Computation of Electromagnetic Fields (COMPUMAG), Jul 2013, Budapest, Hungary. ⟨hal-01677537⟩
139 Consultations
56 Téléchargements

Partager

Gmail Facebook X LinkedIn More