Torque optimization of submersible motors using evolutionary algorithms
Küçük Resim Yok
Tarih
2011
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This paper presents the design optimization method to maximize the torque of submersible motors. In optimization, genetic algorithms have been used because of its superior features over some other evolutionary algorithms. The magnetic analysis of motor has been implemented with two-dimensional finite elements method. The optimization results obtained from genetic algorithms have been verified by finite elements method. It is seen that the results are in compliance with Finite Element results. Besides, Genetic algorithms have been tested by using different number of populations; crossover and mutation rates. The results have shown that submersible induction motors' torques and efficiencies are improved and material savings are obtained. © 2011 IEEE.
Açıklama
TUBITAK;IEEE
2011 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2011 -- 15 June 2011 through 18 June 2011 -- Istanbul-Kadikoy -- 85879
2011 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2011 -- 15 June 2011 through 18 June 2011 -- Istanbul-Kadikoy -- 85879
Anahtar Kelimeler
evolutionary algorithm, finite element method, submersible motor, torque optimization
Kaynak
INISTA 2011 - 2011 International Symposium on INnovations in Intelligent SysTems and Applications
WoS Q Değeri
Scopus Q Değeri
N/A
