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Real-time discrete neural block control using sliding modes for electric induction motors / Alma Y. Alanis in IEEE Transactions on control systems technology, Vol. 18 N° 1 (Janvier 2010) 

Public ISBD [article]  in IEEE Transactions on control systems technology > Vol. 18 N° 1 (Janvier 2010) . - pp. 11-21 Titre : Real-time discrete neural block control using sliding modes for electric induction motors Type de document : texte imprimé Auteurs : Alma Y. Alanis, Auteur ; Edgar N. Sanchez, Auteur ; Loukianov, Alexander G., Auteur Année de publication : 2011 Article en page(s) : pp. 11-21 Note générale : Génie Aérospatial Langues : Anglais (eng) Mots-clés : Discrete  time  nonlinear  systems  Electric  induction  motor  Extended  Kalman  filtering  (EKF)  learning  Neural  block  control  (NBC)  Sliding  modes Index. décimale : 629.1 Résumé : This paper deals with real-time adaptive tracking for discrete-time induction motors in the presence of bounded disturbances. A high-order neural-network structure is used to identify the plant model, and based on this model, a discrete-time control law is derived, which combines discrete-time block-control and sliding-mode techniques. This paper also includes the respective stability analysis for the whole system with a strategy to avoid adaptive weight zero-crossing. The scheme is implemented in real time using a three-phase induction motor. DEWEY : 629.1 ISSN : 1063-6536 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4814535 [article] Real-time discrete neural block control using sliding modes for electric induction motors [texte imprimé] / Alma Y. Alanis, Auteur ; Edgar N. Sanchez, Auteur ; Loukianov, Alexander G., Auteur . - 2011 . - pp. 11-21. Génie Aérospatial Langues : Anglais (eng) in IEEE Transactions on control systems technology > Vol. 18 N° 1 (Janvier 2010) . - pp. 11-21 Mots-clés : Discrete  time  nonlinear  systems  Electric  induction  motor  Extended  Kalman  filtering  (EKF)  learning  Neural  block  control  (NBC)  Sliding  modes Index. décimale : 629.1 Résumé : This paper deals with real-time adaptive tracking for discrete-time induction motors in the presence of bounded disturbances. A high-order neural-network structure is used to identify the plant model, and based on this model, a discrete-time control law is derived, which combines discrete-time block-control and sliding-mode techniques. This paper also includes the respective stability analysis for the whole system with a strategy to avoid adaptive weight zero-crossing. The scheme is implemented in real time using a three-phase induction motor. DEWEY : 629.1 ISSN : 1063-6536 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4814535