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Robust mobile robot navigation using fuzzy logic controllers with robustness analysis / Yasmine Saidi (2021)
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Titre : Robust mobile robot navigation using fuzzy logic controllers with robustness analysis Type de document : texte imprimé Auteurs : Yasmine Saidi, Auteur ; Mohamed Tadjine, Directeur de thèse ; Abdelkrim Nemra, Directeur de thèse Editeur : [S.l.] : [s.n.] Année de publication : 2021 Importance : 213 f., 1 fichier PDF (10.8 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. 185 - 213Langues : Anglais (eng) Mots-clés : Differential drive wheeled mobile robot Wheel slip dynamic Parameters uncertainties Robustness analysis Type 2 fuzzy logic controller Virtual experimentation platform. Index. décimale : D001521 Résumé : In this work, a full dynamic model for mobile robot with wheel slip is developed for robust navigation. The type 2 fuzzy logic controller algorithm is implemented and compared to the type 1 fuzzy controller using a differential drive wheels mobile robot (DDWMR) in the presence of wheel slipping from the perspective of control design. We present a dynarnic model that explicitly relates perturbations to the vehicle slipping and parameters uncertainties. Both controllers are validated on different behaviors of navigation to evaluate their performances. Furthermore, many advanced robustness tests (modeling en-ors, localisation uncertainties, loss of efficiency of motors, sliding ground) are established to compare the efficiency of each controller. Type 1 and interval type 2 fuzzy logic controllers are validated using V-REP robotic simulator on MATLAB environment and real scenario are considered. The obtained results show clearly the performances of the IT2FLC comparing to the TIFLC controller especially when significant wheel slip and parameters uncertainty are considered. Robust mobile robot navigation using fuzzy logic controllers with robustness analysis [texte imprimé] / Yasmine Saidi, Auteur ; Mohamed Tadjine, Directeur de thèse ; Abdelkrim Nemra, Directeur de thèse . - [S.l.] : [s.n.], 2021 . - 213 f., 1 fichier PDF (10.8 Mo) : ill. ; 30 cm.
Mode d'accès : accès au texte intégral par intranet.
Thèse de Doctorat : Automatique : Alger, École Nationale Polytechnique : 2021
Bibliogr. f. 185 - 213
Langues : Anglais (eng)
Mots-clés : Differential drive wheeled mobile robot Wheel slip dynamic Parameters uncertainties Robustness analysis Type 2 fuzzy logic controller Virtual experimentation platform. Index. décimale : D001521 Résumé : In this work, a full dynamic model for mobile robot with wheel slip is developed for robust navigation. The type 2 fuzzy logic controller algorithm is implemented and compared to the type 1 fuzzy controller using a differential drive wheels mobile robot (DDWMR) in the presence of wheel slipping from the perspective of control design. We present a dynarnic model that explicitly relates perturbations to the vehicle slipping and parameters uncertainties. Both controllers are validated on different behaviors of navigation to evaluate their performances. Furthermore, many advanced robustness tests (modeling en-ors, localisation uncertainties, loss of efficiency of motors, sliding ground) are established to compare the efficiency of each controller. Type 1 and interval type 2 fuzzy logic controllers are validated using V-REP robotic simulator on MATLAB environment and real scenario are considered. The obtained results show clearly the performances of the IT2FLC comparing to the TIFLC controller especially when significant wheel slip and parameters uncertainty are considered. Réservation
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