Scopus
Multiobjective genetic estimation to induction motor parameters
International Aegean Conference on Electrical Machines and Power Electronics and Electromotion ACEMP'07 and Electromotion'07 Joint Conference · Aralık 2007
Makale Bilgileri
DergiInternational Aegean Conference on Electrical Machines and Power Electronics and Electromotion ACEMP'07 and Electromotion'07 Joint Conference
Yayın TarihiAralık 2007
Scopus ID2-s2.0-51249104973
Özet
In order to simplify the offline identification of induction motor parameters, a method based on optimization using a multiobjective genetic algorithm is proposed. The non-dominated sorting genetic algorithm (NSGA-II) is used to minimize the error between the actual data and an estimated model. The robustness of the method is shown by identifying parameters of the induction motor in three different cases. The simulation results show that the method successfully estimates the motor parameters. © 2007 IEEE.
Yazarlar (2)
1
Tahir Saǧ
2
Mehmet Çunkaş
Anahtar Kelimeler
Induction motor
Multiobjective genetic algorithm
Parameter estimation
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
23
Atıf
2
Yazar
3
Anahtar Kelime