Scopus
YÖKSİS Eşleşti
Determination of induction motor parameters with differential evolution algorithm
Neural Computing and Applications · Kasım 2012
YÖKSİS Kayıtları
Determination of induction motor parameters with differential evolution algorithm
Neural Computing and Applications · 2012 SCI-Expanded
PROFESÖR MEHMET ÇUNKAŞ →
Determination of induction motor parameters with differential evolution algorithm
Neural Computing and Applications · 2012 SCI-Expanded
DOÇENT TAHİR SAĞ →
Makale Bilgileri
DergiNeural Computing and Applications
Yayın TarihiKasım 2012
Cilt / Sayfa21 · 1995-2004
Scopus ID2-s2.0-84867705782
Özet
In this study, the determination of equivalent circuit parameters of induction motors is carried out with differential evolution algorithm (DEA) and genetic algorithm (GA). As an objective function in the algorithms, the sum torque error at zero speed, pull-out, and rated speed is used. The determination of equivalent circuit parameters is performed with three induction motors of 2.2, 5.5, and 37 kW. In particular, the search ability of DEA is compared with GA by using the same population size, number of iteration, and crossover rate. In addition, the effects of the obtained equivalent circuit parameters on induction motors characteristics are investigated and presented with graphics. The results show that the use of DEA instead of GA increases the convergence sensitivity and reduces the simulation time. © 2011 Springer-Verlag London Limited.
Yazarlar (3)
1
Mustafa Arslan
2
Mehmet Çunkaş
3
Tahir Saǧ
Anahtar Kelimeler
Differential evolution algorithm
Genetic algorithm
Inductions motor
Parameter determination
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
22
Atıf
3
Yazar
4
Anahtar Kelime