A novel sensorless field oriented controller for Permanent Magnet Synchronous Motors
Küçük Resim Yok
Tarih
2014
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this paper, a Particle Swarm Optimization based PI controller (PSO-PI) is used for control the speed and the torque of a Permanent Magnet Synchronous Motor (PMSM) while a Model Reference Adaptive System (MRAS) based on an Artificial Neural Network (ANN) estimation mechanism is applied to estimate sensorless the speed. In order to show the capability of the proposed PSO-PI controller, it is compared with a Fuzzy-Logic PI controller and with a classical PI controller. The simulation results prove the usefulness of the proposed PSO-PI controller. © 2014 IEEE.
Açıklama
Bogazici University; IEEE Industrial Electronics Society (IES); The Institute of Electrical and Electronics Engineers (IEEE)
2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014 -- 1 June 2014 through 4 June 2014 -- Istanbul -- 107393
2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014 -- 1 June 2014 through 4 June 2014 -- Istanbul -- 107393
Anahtar Kelimeler
Artificial neural network, Field oriented control, Model reference adaptive system, Particle swarm optimization, Permanent magnet synchronous motor, Sensorless control, Speed control, Torque control
Kaynak
IEEE International Symposium on Industrial Electronics
WoS Q Değeri
Scopus Q Değeri
N/A
