DocumentCode
437159
Title
A novel brushless DC motor speed estimator based on space-frequency localized wavelet neural networks (WNNs)
Author
Song, Yujie ; Ponci, Ferdinanda ; Monti, Antonello ; Gao, Lijun ; Dougal, Roger A.
Author_Institution
Dept. of Electr. Eng., South Carolina Univ., Columbia, SC
Volume
2
fYear
2005
fDate
6-10 March 2005
Firstpage
927
Abstract
A novel high-accurate speed estimator using a recurrent wavelet neural network (WNN) is proposed and validated for BLDC motor drives. The experimental results show that the WNN speed estimator yields promising results over a wide operating range including low-speed bands and transient operating conditions
Keywords
DC motor drives; brushless DC motors; neural nets; power engineering computing; BLDC motor drive; brushless DC motor drive; low-speed band; space-frequency localization; speed estimator; transient operating condition; wavelet neural network; Artificial neural networks; Brushless DC motors; DC motors; Equations; Motor drives; Neural networks; Recurrent neural networks; Rotors; Voltage; Yield estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Applied Power Electronics Conference and Exposition, 2005. APEC 2005. Twentieth Annual IEEE
Conference_Location
Austin, TX
Print_ISBN
0-7803-8975-1
Type
conf
DOI
10.1109/APEC.2005.1453097
Filename
1453097
Link To Document