Control design and visual autonomous navigation of quadrotor

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dc.contributor.authorBoughellaba, Mouaad
dc.contributor.authorRabah hazila, Ramzi
dc.contributor.authorBoushaki, Razika (supervisor)
dc.date.accessioned2022-01-13T11:28:46Z
dc.date.available2022-01-13T11:28:46Z
dc.date.issued2018
dc.description82 p.en_US
dc.description.abstractStarting from the fact that quadrotors are nonlinear MIMO system that operates in 3D space, the task of stabilizing and generating suitable control commands have been the interest of many researches. Another challenging task is the autonomous navigation as both the weight and the computation capacity are limited which constrains the type of sensors and algorithms. In this project, an autonomous navigation and obstacle avoidance system based on monocular camera has been implemented which enables the quadrotor navigates in previously unknown GPS-denied environment. Moreover, four controllers have been designed and their performance were compared.The mathematical model of aen_US
dc.description.sponsorshipUniversité M'Hamed Bougara Boummerdes : Institut genie électrique et électroniqueen_US
dc.identifier.urihttps://dspace.univ-boumerdes.dz/handle/123456789/7559
dc.language.isoenen_US
dc.subjectAutonomous navigationen_US
dc.subjectTranslational equation of motionen_US
dc.titleControl design and visual autonomous navigation of quadrotoren_US
dc.typeThesisen_US

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