An intelligent design optimization of a permanent magnet synchronous motor by artificial bee colony algorithm
Küçük Resim Yok
Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The artificial bee colony algorithm is one of the latest stochastic methods based on swarm intelligence. The algorithm simulates the foraging behavior of honeybees. The structure of the algorithm is quite simple and its coding is very easy. This paper proposes a design optimization based on geometrical variables to obtain a highly efficient surface mounted permanent magnet synchronous motor with concentrated winding by use of the artificial bee colony algorithm. Input parameters for the algorithm are the geometrical variables of the motor. This approach is more advantageous than finite element analysis requiring a long period of time. Results of the artificial bee colony algorithm are compared with results of a genetic algorithm and checked with a commercial design program. The results emphasize the effectiveness of the algorithm on the design optimization of the permanent magnet synchronous motor.
Açıklama
Anahtar Kelimeler
Artificial bee colony algorithm, design optimization, genetic algorithm, permanent magnet synchronous motor
Kaynak
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
WoS Q Değeri
Q4
Scopus Q Değeri
Q3
Cilt
24
Sayı
3
