Titre :	Fault Detection and Classification in Quadcopter Dynamics
Type de document :	document multimédia
Auteurs :	Sarah Boufateh, Auteur ; Soumia Rim Mohamedi, Auteur ; Khalil Benmouiza, Directeur de thèse
Editeur :	Laghouat : Université Amar Telidji - Département d'électrotechnique
Année de publication :	2024
Importance :	60p.
Accompagnement :	1 CD ROM Optique Némérique
Note générale :	Automatic and systems
Langues :	Anglais
Mots-clés :	Unmanned Aerial Vehicles (UAVs) - Quadcopters - PID controllers - Fuzzy logic controllers.
Résumé :	Unmanned Aerial Vehicles (UAVs) have revolutionized applications across diverse industries, reshaping traditional approaches to task execution. Among the various UAV models, quadcopters have gained significant popularity due to their unique four-rotor design, which provides inherent stability and exceptional maneuverability. These features contribute to their high efficiency in a wide range of applications. This work focuses on the simulation of a quadcopter system using PID and fuzzy logic controllers within the MATLAB/Simulink environment. A comprehensive performance comparison is conducted, particularly evaluating the controllers' responses to unexpected events or faults in the quadcopter system. The findings offer valuable insights into the robustness and reliability of each control method, enhancing the potential for optimized UAV operations.
note de thèses :	Memoire de Master en Electrotechnique

Fault Detection and Classification in Quadcopter Dynamics [document multimédia] / Sarah Boufateh, Auteur ; Soumia Rim Mohamedi, Auteur ; Khalil Benmouiza, Directeur de thèse . - Laghouat : Université Amar Telidji - Département d'électrotechnique, 2024 . - 60p. + 1 CD ROM Optique Némérique.
Automatic and systems
Langues : Anglais

Mots-clés :	Unmanned Aerial Vehicles (UAVs) - Quadcopters - PID controllers - Fuzzy logic controllers.
Résumé :	Unmanned Aerial Vehicles (UAVs) have revolutionized applications across diverse industries, reshaping traditional approaches to task execution. Among the various UAV models, quadcopters have gained significant popularity due to their unique four-rotor design, which provides inherent stability and exceptional maneuverability. These features contribute to their high efficiency in a wide range of applications. This work focuses on the simulation of a quadcopter system using PID and fuzzy logic controllers within the MATLAB/Simulink environment. A comprehensive performance comparison is conducted, particularly evaluating the controllers' responses to unexpected events or faults in the quadcopter system. The findings offer valuable insights into the robustness and reliability of each control method, enhancing the potential for optimized UAV operations.
note de thèses :	Memoire de Master en Electrotechnique