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Path Planning and Control of a Drone Fleet

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dc.contributor.author LARIBI, Nesserine
dc.contributor.author BOURI, Abdennour
dc.date.accessioned 2023-05-11T15:06:26Z
dc.date.available 2023-05-11T15:06:26Z
dc.date.issued 2022-07-04
dc.identifier.uri http://hdl.handle.net/STDB_UNAM/425
dc.description.abstract In recent years, air pollution has damaged our environment and caused a serious threat to human and animal life. Therefore, it is necessary to locate and identify the sources of pollution. This thesis describes the planning and control of a fl of drones whose purpose is to gather at the location with the highest pollution concentration. A decentralized structure is employed to control the drone fl controllers are used to control each drone independently. Quadrotor’s trajectory planning is performed by the metaheuristic algorithm, which is particle swarm optimization by maximizing the air pollution dispersion function and avoiding collisions among the fl members. en_US
dc.language.iso fr en_US
dc.publisher Directeur: Mr MEGNAFI Hicham en_US
dc.subject Unmanned Aerial Vehicle, Fleet of drones, Air Pollution, Synergetic control theory, Particle Swarm Optimization. en_US
dc.title Path Planning and Control of a Drone Fleet en_US
dc.type Thesis en_US


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