Titre :	Techniques de commande avancées de la machine asynchrone : étude comparative et applications
Type de document :	texte imprimé
Auteurs :	Salah Eddine Rezgui, Auteur ; Hocine Benalla, Directeur de thèse
Editeur :	Constantine : Université Mentouri Constantine
Année de publication :	2015
Importance :	206 f.
Format :	30 cm.
Note générale :	2 copies imprimées disponibles
Langues :	Français (fre)
Catégories :	Français - Anglais Electro-technique
Tags :	Commande par mode glissant avancée  comparaison  réseau de neurones  estimation en-ligne des paramètres  commande sans capteurs  dSPACE  liding mode advanced control  comparison  artificial neural network  on-line parameters estimation  sensorless control  تحكم متقدمبالنمط الانزلاقي  مقارنة بين أنواع التحكم  الشبكة العصبية الاصطناعية  تقدير البارمترات على المباشر  تحكم بدون ملتقطات
Index. décimale :	622 Electro-Technique
Résumé :	The aim of this work was carried on the experimental comparison of the performance of field oriented vector control and DTC control, and to develop control and observation algorithms with conjoint on-line estimation of the induction motor (IM) parameters, taking into consideration the constraints imposed by the practical realization. We took a special interest to the experimental test-bed as it is an essential step for validating each new control law design. A theoretical study is devoted to the basic concepts of variable structure systems with sliding mode, and after describing the conventional method, we proceeded to the synthesis of control law that is based on exponential reaching phase (ERL) to achieve more robustness of the system even at transients and to improve its dynamic response. At the end, a new sensorless control by MRAS with an on-line conjoint estimation of the IM parameters using artificial neural networks is developed. To do so, we proceed with a theoretical study of the MRAS technique evoking its different methods. Then we continue with the process of estimating the IM parameters espacially the stator resistance and the inverse of the rotor time constant using the concept of Popov’s hyperstability. After describing the principles of neural networks and their application to our case in the estimation of the parameters we go further to the practice implementation and interpretation of results.
Diplôme :	Doctorat en sciences
En ligne :	../theses/electrotec/REZ6753.pdf
Format de la ressource électronique :	pdf
Permalink :	index.php?lvl=notice_display&id=9862

Techniques de commande avancées de la machine asynchrone : étude comparative et applications [texte imprimé] / Salah Eddine Rezgui, Auteur ; Hocine Benalla, Directeur de thèse . - Constantine : Université Mentouri Constantine, 2015 . - 206 f. ; 30 cm.
2 copies imprimées disponibles

Langues : Français (fre)

Catégories :	Français - Anglais Electro-technique
Tags :	Commande par mode glissant avancée  comparaison  réseau de neurones  estimation en-ligne des paramètres  commande sans capteurs  dSPACE  liding mode advanced control  comparison  artificial neural network  on-line parameters estimation  sensorless control  تحكم متقدمبالنمط الانزلاقي  مقارنة بين أنواع التحكم  الشبكة العصبية الاصطناعية  تقدير البارمترات على المباشر  تحكم بدون ملتقطات
Index. décimale :	622 Electro-Technique
Résumé :	The aim of this work was carried on the experimental comparison of the performance of field oriented vector control and DTC control, and to develop control and observation algorithms with conjoint on-line estimation of the induction motor (IM) parameters, taking into consideration the constraints imposed by the practical realization. We took a special interest to the experimental test-bed as it is an essential step for validating each new control law design. A theoretical study is devoted to the basic concepts of variable structure systems with sliding mode, and after describing the conventional method, we proceeded to the synthesis of control law that is based on exponential reaching phase (ERL) to achieve more robustness of the system even at transients and to improve its dynamic response. At the end, a new sensorless control by MRAS with an on-line conjoint estimation of the IM parameters using artificial neural networks is developed. To do so, we proceed with a theoretical study of the MRAS technique evoking its different methods. Then we continue with the process of estimating the IM parameters espacially the stator resistance and the inverse of the rotor time constant using the concept of Popov’s hyperstability. After describing the principles of neural networks and their application to our case in the estimation of the parameters we go further to the practice implementation and interpretation of results.
Diplôme :	Doctorat en sciences
En ligne :	../theses/electrotec/REZ6753.pdf
Format de la ressource électronique :	pdf
Permalink :	index.php?lvl=notice_display&id=9862