Détail de l'indexation
Ouvrages de la bibliothèque en indexation D001921 (1)



Contribution on observation and fault diagnosis of a multicellular converter / Khelouat, Samir (2021)
![]()
Titre : Contribution on observation and fault diagnosis of a multicellular converter Type de document : texte imprimé Auteurs : Khelouat, Samir, Auteur ; Djamel Boukhetala, Directeur de thèse ; Attalah Benalia, Directeur de thèse ; Taous Meriem Laleg Kirati, Directeur de thèse Editeur : [S.l.] : [s.n.] Année de publication : 2021 Importance : 156 f., 1 fichier PDF (3.9 Mo) Présentation : ill. Format : 30 cm. Note générale : Mode d'accès : accès au texte intégral par intranet
Thèse de Doctorat : Automatique : Alger, École Nationale Polytechnique : 2021
Bibliogr. f. 142 - 152 . - Annexe f. 153Langues : Anglais (eng) Mots-clés : Multi cell converter Observability of hybrid systems Fault diagnosis Sliding mode observer Index. décimale : D001921 Résumé : The work presented in this thesis concerns the observation and diagnosis of faults in the 3-cell converter which is considered to be a hybrid system du to its switching behavior. Indeed, the observability analysis has been shown for a hybrid time trajectory using a geometric approach based on the computation of the unobservable subspace along the hybrid time trajectory. A sliding mode observer is then designed for the observable subspace of the converter. The convergence of the observation error is demonstrated using the Lyapunov theory. Observer parameters are computed by solving a linear matrix inequality (LMI). The simulation results show a good reconstruction of the floating voltages of the converter.
The second part is devoted to the diagnosis of converter faults. Indeed, a geometric approach has been applied for the determination of the subspaces sensitive to a set of faults and insensitive to another set. Fault detection and isolation is based on the designing of observer-based residual generators. The simulation results show the efficiency of the proposed residual generators based on sliding mode observers.Contribution on observation and fault diagnosis of a multicellular converter [texte imprimé] / Khelouat, Samir, Auteur ; Djamel Boukhetala, Directeur de thèse ; Attalah Benalia, Directeur de thèse ; Taous Meriem Laleg Kirati, Directeur de thèse . - [S.l.] : [s.n.], 2021 . - 156 f., 1 fichier PDF (3.9 Mo) : ill. ; 30 cm.
Mode d'accès : accès au texte intégral par intranet
Thèse de Doctorat : Automatique : Alger, École Nationale Polytechnique : 2021
Bibliogr. f. 142 - 152 . - Annexe f. 153
Langues : Anglais (eng)
Mots-clés : Multi cell converter Observability of hybrid systems Fault diagnosis Sliding mode observer Index. décimale : D001921 Résumé : The work presented in this thesis concerns the observation and diagnosis of faults in the 3-cell converter which is considered to be a hybrid system du to its switching behavior. Indeed, the observability analysis has been shown for a hybrid time trajectory using a geometric approach based on the computation of the unobservable subspace along the hybrid time trajectory. A sliding mode observer is then designed for the observable subspace of the converter. The convergence of the observation error is demonstrated using the Lyapunov theory. Observer parameters are computed by solving a linear matrix inequality (LMI). The simulation results show a good reconstruction of the floating voltages of the converter.
The second part is devoted to the diagnosis of converter faults. Indeed, a geometric approach has been applied for the determination of the subspaces sensitive to a set of faults and insensitive to another set. Fault detection and isolation is based on the designing of observer-based residual generators. The simulation results show the efficiency of the proposed residual generators based on sliding mode observers.Réservation
Réserver ce document
Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité Spécialité Etat_Exemplaire T000342 D001921 Ressources électroniques Bibliothèque Annexe Thèse de Doctorat Disponible Automatique Consultation sur place/Téléchargeable Documents numériques
![]()
KHELOUAT.Samir.pdfURL