Titre :	Contribustion à la commande tolérante aux défauts d'une classe de systèmes non linéaires.
Type de document :	texte imprimé
Auteurs :	Abdelhamid Bounemeur, Auteur ; Mohamed Chemachema, Directeur de thèse
Mention d'édition :	01/10/2019
Editeur :	جامعة الإخوة منتوري قسنطينة
Année de publication :	2019
Importance :	164 f.
Format :	30 cm.
Note générale :	Doctorat 3éme CYCLE LMD. 1 copies imprimées disponibles
Langues :	Français (fre)
Catégories :	Français - Anglais Electronique
Tags :	Electronique: automatique  automatique:contrôle de système  Commande non linéaire  Commande adaptative floue tolérante aux défauts  stabilité de Lyapunov  Gain de Nussbaum  Optimisation par Essaimes de Particules  Nonlinear control  Fuzzy adaptive fault-tolerant control  Lyapunov stability  Nussbaum Gain  PSO  التحكم غير الخطي  التحكم التأقلمي الضبابي مع الأخطاء  استقرار ليابونوف  معامل ربح نوسبوم  طريقة سرب الطيور
Index. décimale :	621 Electronique
Résumé :	In this thesis, we considered the tracking control of a class of multi-input multioutput (MIMO) nonlinear uncertain systems with faults. At the beginning, general ideas of adaptive fault-tolerant with the best researchers who worked in this field and the used techniques are presented. Based on these techniques we proposed three adaptive control schemes. The first scheme is based on backstepping and fuzzy logic systems. This scheme deals with the occurrence of actuator and sensor faults at the same time which the performances are tested on a dynamic model of a quadrotor system. The second integrates Nussbaum-type functions to overcome the control gain sign problem with time-varying and state-dependent actuator faults, the performances are tested on the dynamic of two-inverted pendulums system. The third control scheme is based on an optimal technique who is called Particle Swarm Optimization PSO. This optimal technique is used to circumvent the problem of the adaptive parameters and the initial parameters of the used fuzzy systems, a simulation stage was applied on two links-robot manipulators to prove the accuracy and the effectiveness of the proposed approach. The analysis of stability and robustness for all the proposed control schemes are performed by using the Lyapunov synthesis method with the help of Barbalat’s Lemma, and the simulation results are given to highlight its performance
Note de contenu :	Annexe.
Diplôme :	Doctorat
En ligne :	../theses/electronique/BOU7605.pdf
Format de la ressource électronique :	pdf
Permalink :	index.php?lvl=notice_display&id=11441

Contribustion à la commande tolérante aux défauts d'une classe de systèmes non linéaires. [texte imprimé] / Abdelhamid Bounemeur, Auteur ; Mohamed Chemachema, Directeur de thèse  . -  01/10/2019 . - جامعة الإخوة منتوري قسنطينة, 2019 . - 164 f. ; 30 cm.
Doctorat 3éme CYCLE LMD.
1 copies imprimées disponibles

Langues : Français (fre)

Catégories :	Français - Anglais Electronique
Tags :	Electronique: automatique  automatique:contrôle de système  Commande non linéaire  Commande adaptative floue tolérante aux défauts  stabilité de Lyapunov  Gain de Nussbaum  Optimisation par Essaimes de Particules  Nonlinear control  Fuzzy adaptive fault-tolerant control  Lyapunov stability  Nussbaum Gain  PSO  التحكم غير الخطي  التحكم التأقلمي الضبابي مع الأخطاء  استقرار ليابونوف  معامل ربح نوسبوم  طريقة سرب الطيور
Index. décimale :	621 Electronique
Résumé :	In this thesis, we considered the tracking control of a class of multi-input multioutput (MIMO) nonlinear uncertain systems with faults. At the beginning, general ideas of adaptive fault-tolerant with the best researchers who worked in this field and the used techniques are presented. Based on these techniques we proposed three adaptive control schemes. The first scheme is based on backstepping and fuzzy logic systems. This scheme deals with the occurrence of actuator and sensor faults at the same time which the performances are tested on a dynamic model of a quadrotor system. The second integrates Nussbaum-type functions to overcome the control gain sign problem with time-varying and state-dependent actuator faults, the performances are tested on the dynamic of two-inverted pendulums system. The third control scheme is based on an optimal technique who is called Particle Swarm Optimization PSO. This optimal technique is used to circumvent the problem of the adaptive parameters and the initial parameters of the used fuzzy systems, a simulation stage was applied on two links-robot manipulators to prove the accuracy and the effectiveness of the proposed approach. The analysis of stability and robustness for all the proposed control schemes are performed by using the Lyapunov synthesis method with the help of Barbalat’s Lemma, and the simulation results are given to highlight its performance
Note de contenu :	Annexe.
Diplôme :	Doctorat
En ligne :	../theses/electronique/BOU7605.pdf
Format de la ressource électronique :	pdf
Permalink :	index.php?lvl=notice_display&id=11441