Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/45372
Title: Parametric identification of a three-phase machine with genetic algorithms
Authors: Simón, L.
Monzón, J. M. 
UNESCO Clasification: 3313 Tecnología e ingeniería mecánicas
Keywords: Genetic Algorithm
Induction Motor
Finite Element Method Simulation
Induction Machine
Electromagnetic Torque
Issue Date: 2010
Publisher: 1860-949X
Journal: Studies in Computational Intelligence 
Conference: 14th International Symposium of COMPEL on Electromagnetic Fields in Electrical Engineering (ISEF 09) 
Abstract: In this chapter a three-phase magnetic induction motor squirrel-cage is analyzed with the Finite Element Method (FEM). Five variations of the rotor geometry design are analyzed. The analysis has been made with simulations of static configurations. For each geometry an identification of the parametric model has been obtained. For the optimization of the parameters, Genetic Algorithms (GA) have been used as a robust optimization method.
URI: http://hdl.handle.net/10553/45372
ISBN: 9783642162244
ISSN: 1860-949X
DOI: 10.1007/978-3-642-16225-1_9
Source: Studies in Computational Intelligence[ISSN 1860-949X],v. 327, p. 167-184
Appears in Collections:Actas de congresos
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