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Titre : Contribution à la commande adaptative optimale d’ordre fractionnaire. Type de document : texte imprimé Auteurs : Bachir Bourouba, Auteur ; Samir Ladaci, Directeur de thèse ; Abdelhafid Chaabi, Directeur de thèse Editeur : جامعة الإخوة منتوري قسنطينة Année de publication : 2018 Importance : 121 f. Format : 30 cm. Note générale : 2 copies imprimées disponibles Langues : Français (fre) Catégories : Français - Anglais
ElectroniqueTags : Calcul fractionnaire système de commande d'ordre fractionnaire commande adaptative à modèle de référence commande optimale commande par mode glissant commande floue commande adaptative optimisation Fractional calculus Fractional order control system Model reference adaptive control Optimal control Sliding mode control Adaptive control Optimization ?????? ?????? ???? ?????? ?????? ?????? ??????? ?? ????? ????? ?????? ?? ??? ???????? ??????
?????? ?????? ??????? ???????Index. décimale : 621 Electronique Résumé : This work focuses on the introduction of optimization techniques in fractional adaptive control systems and on optimized approximation of fractional systems with reduced order models for identification and control purpose. Indeed, a new technique of approximation has been proposed in this direction, using the DE (differential evolution) technique while showing its advantage compared to other famous techniques such as those developed by Charef or Oustaloup.
Fractional adaptive control laws with optimized parameters are developed in order to improve the control system behavior: In the case of fractional order linear systems, a model reference PID control based on a new optimization algorithm (Moth-Flame) has been proposed. In the case of fractional order chaotic nonlinear systems, the following approaches are considered: a first control with adaptive sliding mode to improve performance and robustness. Since fuzzy systems are universal approximators, this property is exploited to strengthen the previous control law by an
adaptive fuzzy controller. For an optimal control, the parameters of the sliding controller are calculated by PSO optimization technique. In all the previous cases, the analysis of stability and robustness are justified by the Lyapunov approach. The theoretical results are validated by simulation examples.
Diplôme : Doctorat en sciences En ligne : ../theses/electronique/BOU7191.pdf Format de la ressource électronique : Permalink : https://bu.umc.edu.dz/md/index.php?lvl=notice_display&id=10772 Contribution à la commande adaptative optimale d’ordre fractionnaire. [texte imprimé] / Bachir Bourouba, Auteur ; Samir Ladaci, Directeur de thèse ; Abdelhafid Chaabi, Directeur de thèse . - [S.l.] : جامعة الإخوة منتوري قسنطينة, 2018 . - 121 f. ; 30 cm.
2 copies imprimées disponibles
Langues : Français (fre)
Catégories : Français - Anglais
ElectroniqueTags : Calcul fractionnaire système de commande d'ordre fractionnaire commande adaptative à modèle de référence commande optimale commande par mode glissant commande floue commande adaptative optimisation Fractional calculus Fractional order control system Model reference adaptive control Optimal control Sliding mode control Adaptive control Optimization ?????? ?????? ???? ?????? ?????? ?????? ??????? ?? ????? ????? ?????? ?? ??? ???????? ??????
?????? ?????? ??????? ???????Index. décimale : 621 Electronique Résumé : This work focuses on the introduction of optimization techniques in fractional adaptive control systems and on optimized approximation of fractional systems with reduced order models for identification and control purpose. Indeed, a new technique of approximation has been proposed in this direction, using the DE (differential evolution) technique while showing its advantage compared to other famous techniques such as those developed by Charef or Oustaloup.
Fractional adaptive control laws with optimized parameters are developed in order to improve the control system behavior: In the case of fractional order linear systems, a model reference PID control based on a new optimization algorithm (Moth-Flame) has been proposed. In the case of fractional order chaotic nonlinear systems, the following approaches are considered: a first control with adaptive sliding mode to improve performance and robustness. Since fuzzy systems are universal approximators, this property is exploited to strengthen the previous control law by an
adaptive fuzzy controller. For an optimal control, the parameters of the sliding controller are calculated by PSO optimization technique. In all the previous cases, the analysis of stability and robustness are justified by the Lyapunov approach. The theoretical results are validated by simulation examples.
Diplôme : Doctorat en sciences En ligne : ../theses/electronique/BOU7191.pdf Format de la ressource électronique : Permalink : https://bu.umc.edu.dz/md/index.php?lvl=notice_display&id=10772 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité BOU/7191 BOU/7191 Thèse Bibliothèque principale Thèses Disponible
Titre : Contribution à la commande adaptative d'ordre fractionnaire Type de document : texte imprimé Auteurs : Samir Ladaci ; Université Mentouri, Editeur scientifique ; Abdelfatah Charef, Directeur de thèse Année de publication : 2007 Importance : 151 f. Note générale : 01 Disponible à la salle de recherche 02 Disponibles au magazin de la B.U.C. 01 CD Langues : Français (fre) Catégories : Français - Anglais
ElectroniqueTags : Calcul fractionnaire Système de commande d'ordes fractionnaire Commande adaptative à modèle de référence Commande adaptative à grand grain Commande auto-ajustable Fractional calculus fractional order control system model reference adaptive control high-gain adaptive control, self-tuning control. Index. décimale : 621 Electronique Résumé : This work presents new ideas to improve adaptive control schemes by introducing
fractional calculus elements. Many adaptive concepts are studied, and new control algorithms are proposed using fractional order operators (differentiator, integrator) as well as fractional order transfer functions. The state of the art of fractional order control systems is presented with definitions of the most important notions of fractional calculus. And the different approaches of adaptive control concerned with this work are introduced together with the classical control algorithms. The main contribution of this work is to propose many fractional adaptive control schemes, mainly :
– Model reference adaptive control with control rules using fractional order integration or the process output derivative of fractional order with a fractional order reference model.
– Fractional order high-gain adaptive control where the gain depends on a norm fractional integral of the process output.
– PIλDµ adaptive control using fractional order integral and derivative, this control scheme being inspired from the high-gain control.
By comparing these results with classical integer order control schemes, we show an important performance improvement (response time, settling time, stability) and a better robustness against noises and perturbations. These observations are illustrated by numerical simulations and theoretical arguments in the case of high-gain adaptive control.Diplôme : Doctorat en sciences En ligne : ../theses/electronique/LaD4778.pdf Format de la ressource électronique : Permalink : https://bu.umc.edu.dz/md/index.php?lvl=notice_display&id=2725 Contribution à la commande adaptative d'ordre fractionnaire [texte imprimé] / Samir Ladaci ; Université Mentouri, Editeur scientifique ; Abdelfatah Charef, Directeur de thèse . - 2007 . - 151 f.
01 Disponible à la salle de recherche 02 Disponibles au magazin de la B.U.C. 01 CD
Langues : Français (fre)
Catégories : Français - Anglais
ElectroniqueTags : Calcul fractionnaire Système de commande d'ordes fractionnaire Commande adaptative à modèle de référence Commande adaptative à grand grain Commande auto-ajustable Fractional calculus fractional order control system model reference adaptive control high-gain adaptive control, self-tuning control. Index. décimale : 621 Electronique Résumé : This work presents new ideas to improve adaptive control schemes by introducing
fractional calculus elements. Many adaptive concepts are studied, and new control algorithms are proposed using fractional order operators (differentiator, integrator) as well as fractional order transfer functions. The state of the art of fractional order control systems is presented with definitions of the most important notions of fractional calculus. And the different approaches of adaptive control concerned with this work are introduced together with the classical control algorithms. The main contribution of this work is to propose many fractional adaptive control schemes, mainly :
– Model reference adaptive control with control rules using fractional order integration or the process output derivative of fractional order with a fractional order reference model.
– Fractional order high-gain adaptive control where the gain depends on a norm fractional integral of the process output.
– PIλDµ adaptive control using fractional order integral and derivative, this control scheme being inspired from the high-gain control.
By comparing these results with classical integer order control schemes, we show an important performance improvement (response time, settling time, stability) and a better robustness against noises and perturbations. These observations are illustrated by numerical simulations and theoretical arguments in the case of high-gain adaptive control.Diplôme : Doctorat en sciences En ligne : ../theses/electronique/LaD4778.pdf Format de la ressource électronique : Permalink : https://bu.umc.edu.dz/md/index.php?lvl=notice_display&id=2725 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité LAD/4778 LAD/4778 Thèse Bibliothèque principale Thèses Disponible
