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Electromagnetic design optimization of a low speed Slotted Switched Reluctance Machine using genetic algorithm

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3 Author(s)
Moreau, L. ; IREENA (Inst. de Rech. en Electrotech. et Electron. de Nantes Atlantique), St. Nazaire, France ; Zaim, M.E. ; Machmoum, M.

This paper describes the design of a low speed Slotted Switched Reluctance Machine (SSRM) for wind turbine applications. The modeling and the dimensioning of the machine structure are investigated. Teeth shapes and global design are analyzed by optimizing the mass torque. Dimensions are obtained thanks to a genetic algorithm (GA) associated to the finite element method for the resolution of the electromagnetic equations. The optimization is executed 50 times in order to study convergence and to perform a statistical study on dimensioning parameters.

Published in:
Electrical Machines (ICEM), 2012 XXth International Conference on

Date of Conference: 2-5 Sept. 2012

Page(s):
233 - 237
E-ISBN :
978-1-4673-0141-1
Print ISBN:
978-1-4673-0143-5
INSPEC Accession Number:
13119191
Conference Location :
Marseille
Digital Object Identifier :
10.1109/ICElMach.2012.6349870
Product Type:
Conference Publications

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