Title :

n -level output space mapping for electromagnetic design optimization

Author(s) :

Ben Ayed, Ramzi [Auteur]
L2EP - Équipe Outils et Méthodes Numériques [OMN]
Brisset, stéphane [Auteur]
L2EP - Équipe Outils et Méthodes Numériques [OMN]
Ben Ayed, Ramzi [Auteur]

Journal title :

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

Volume number :

33

Pages :

868 - 878

Publisher :

Emerald

Publication date :

2014-04-29

ISSN :

0332-1649

English keyword(s) :

Optimization
Finite element model
Output Space Mapping
Superconducting Magnetic Energy Storage

HAL domain(s) :

Sciences de l'ingénieur [physics]
Sciences de l'ingénieur [physics]/Electromagnétisme

English abstract : [en]

Purpose- The aim of this paper is to reduce the evaluations number of the fine model within the output space mapping (OSM) technique in order to reduce their computing time. Design/methodology/approach-In this paper, ...
Show more >Purpose- The aim of this paper is to reduce the evaluations number of the fine model within the output space mapping (OSM) technique in order to reduce their computing time. Design/methodology/approach-In this paper, n-level OSM is proposed and expected to be even faster than the conventional OSM. The proposed algorithm takes advantages of the availability of n models of the device to optimize, each of them representing an optimal trade-off between the model error and its computation time. Models with intermediate characteristics between the coarse and fine models are inserted within the proposed algorithm to reduce the number of evaluations of the consuming time model and then the computing time. The advantages of the algorithm are highlighted on the optimization problem of superconducting magnetic energy storage (SMES). Findings-A major computing time gain equals to three is achieved using the n-level OSM algorithm instead of the conventional OSM technique on the optimization problem of SMES. Originality/value-The originality of this paper is to investigate several models with different granularities within OSM algorithm in order to reduce its computing time without decreasing the performance of the conventional strategy.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Comment :

https://hal.archives-ouvertes.fr/hal-01913941v1

Collections :

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

Research team(s) :

Équipe Outils et Méthodes Numériques

Submission date :

2020-05-15T13:21:49Z
2022-02-18T13:44:00Z