DocumentCode :
3630955
Title :
Optimization of big power low voltage induction motor using Hybrid Optimization Algorithms
Author :
Sebastian Lachecinski;Maria Dems
Author_Institution :
Technical University of Lodz, Institute of Mechatronics and Information Systems, 18/22 Stefanowskiego Street, 90-924, Poland
fYear :
2008
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents results of optimization calculation of the big power low voltage induction motor. The results received by new three hybrid algorithms: GA-R, ESμ+λ-R, PSO-R were compared. These hybrid algorithms were created by connecting three algorithms of global optimization, i.e. genetic algorithm GA, evolutionary strategy ES and particle swarm optimization PSO with a suitable modified Rosenbrock´s method.
Keywords :
"Low voltage","Induction motors","Optimization methods","Stator windings","Mathematical model","Genetic algorithms","Particle swarm optimization","Mechatronics","Information systems","Joining processes"
Publisher :
ieee
Conference_Titel :
Electrical Machines, 2008. ICEM 2008. 18th International Conference on
Print_ISBN :
978-1-4244-1735-3
Type :
conf
DOI :
10.1109/ICELMACH.2008.4799968
Filename :
4799968
Link To Document :
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