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Modeling and sizing by optimization of a Brushless Doubly-Fed Reluctance Machine

Authors :
Tiago Staudt
Frédéric Wurtz
Laurent Gerbaud
Patrick Kuo-Peng
Nelson Jhoe Batistela
Depto. de Engenharia Elétrica GRUCAD-UFSC
Universidade Federal de Santa Catarina = Federal University of Santa Catarina [Florianópolis] (UFSC)
LIA franco brésilien James Clerk Maxwell (CNRS-CNPq) (LIA817)
Laboratoire de Génie Electrique de Grenoble (G2ELab)
Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])
Grupo de concepção e analise de dispositivos eletromagnéticos (GRUCAD)
Universitade Federal de Santa Catarina
Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology
Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)
Source :
International Journal of Applied Electromagnetics and Mechanics, International Journal of Applied Electromagnetics and Mechanics, IOS Press 2017, 53, pp.S261-S277. ⟨10.3233/JAE-140167⟩, 13th International Workshop on Optimization and Inverse Problems in Electromagnetism, 13th International Workshop on Optimization and Inverse Problems in Electromagnetism, Sep 2014, Delft, Netherlands
Publication Year :
2017
Publisher :
HAL CCSD, 2017.

Abstract

International audience; The paper proposes an optimization approach to address the modeling and sizing complexities of Brushless Doubly-Fed Reluctances Machines. A semi-analytical model and a reluctance network model are coupled to a deterministic optimization algorithm where several inputs and outputs parameters can be constrained to solve system equations iteratively by maximizing or minimizing an objective function. A Pareto Front strategy is used to illustrate the model capabilities, highlighting the trade-offs on the design of this kind of electrical machines. The optimization model provides fast results to define an initial design, reducing the number of unknown parameters of early development stages. This saves computation time and computer resources in the design process compared to Finite Element Analysis.

Details

Language :
English
ISSN :
13835416 and 18758800
Database :
OpenAIRE
Journal :
International Journal of Applied Electromagnetics and Mechanics, International Journal of Applied Electromagnetics and Mechanics, IOS Press 2017, 53, pp.S261-S277. ⟨10.3233/JAE-140167⟩, 13th International Workshop on Optimization and Inverse Problems in Electromagnetism, 13th International Workshop on Optimization and Inverse Problems in Electromagnetism, Sep 2014, Delft, Netherlands
Accession number :
edsair.doi.dedup.....54e01c08568319cbd54ce5b7e2fd4b73