DocumentCode
1423081
Title
Real-time Discrete Backstepping Neural Control for Induction Motors
Author
Alanis, Alma Y. ; Sanchez, Edgar N. ; Loukianov, Alexander G.
Author_Institution
Dept. de Cienc. Computacionales, Univ. de Guadalajara, Guadalajara, Mexico
Volume
19
Issue
2
fYear
2011
fDate
3/1/2011 12:00:00 AM
Firstpage
359
Lastpage
366
Abstract
This brief focuses on real-time implementation, as applied to a three-phase induction motor, of results already published in 2007. The proposed controller is based on a high-order neural network, trained online using Kalman filter learning, to approximate a control law designed by the backstepping technique.
Keywords
Kalman filters; control system synthesis; induction motors; machine control; neurocontrollers; real-time systems; Kalman filter learning; control law design; high order neural network; real-time discrete backstepping neural control; three phase induction motor; Backstepping; Kalman filter learning; high-order neural networks (HONN); real-time implementation; three-phase induction motors;
fLanguage
English
Journal_Title
Control Systems Technology, IEEE Transactions on
Publisher
ieee
ISSN
1063-6536
Type
jour
DOI
10.1109/TCST.2010.2041780
Filename
5418813
Link To Document