DETERMINATION OF INDUCTION MOTOR PARAMETERS BY DIFFERENTIAL EVOLUTION ALGORITHM AND GENETIC ALGORITHMS
Küçük Resim Yok
Tarih
2009
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
AMER SOC MECHANICAL ENGINEERS
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this paper, two algorithms, Differential Evolution Algorithm (DEA) and Genetic Algorithms (GAs), are applied to the offline identification of induction motor parameters. DEA is compared with the prediction errors and the genetic algorithm via determination parameters using nameplate data like starting torque, breakdown torque, and full-load torque in two different cases. Consequently, it is seen that DEA can be find more precise parameter values than the genetic algorithm and especially convergences to global optimum not to be stuck local optimum.
Açıklama
2nd International Conference on Advanced Computer Theory and Engineering (ICACTE 2009) -- SEP 25-27, 2009 -- Cairo, EGYPT
Anahtar Kelimeler
Induction motor, Parameter identification, Genetic Algorithms, Differential evolution algorithm
Kaynak
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER THEORY AND ENGINEERING (ICACTE 2009), VOLS 1 AND 2
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
