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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01jh343w34k
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dc.contributor.advisorNosenchuck, Daniel M-
dc.contributor.authorBachek, John-
dc.contributor.authorLawrie, Chris-
dc.contributor.authorPeres, Ofek-
dc.contributor.authorRoth, Gabe-
dc.date.accessioned2020-10-08T14:53:12Z-
dc.date.available2020-10-08T14:53:12Z-
dc.date.created2020-04-29-
dc.date.issued2020-10-08-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp01jh343w34k-
dc.description.abstractThis Princeton University senior thesis documents the design and fabrication of an autonomous battery exchange system for a quadcopter. Due to the nature of aircraft flight and battery weight, all drones are constrained by limited flight time. The prototypical EverFly system, outlined in this report, provides a solution to this limitation on drone battery life by enabling a DJI Tello drone to autonomously exchange its battery with a grounded station. The 80-gram Tello was programmed to autonomously guide, navigate, and control itself to the battery station upon detection of low battery. Once the Tello achieves the desired pose and lands, the battery station autonomously secures the drone, extracts its depleted battery, and replaces it with one that is fully charged. Equipped with a fully charged battery, the drone takes off and resumes its autonomous mission. The EverFly system, with a sufficient number of batteries and continuous power input, can facilitate the perpetual quasi-continuous flight of the Tello drone. This report details the modification of the Tello, the design and fabrication of EverFly's hardware subsystems, and the development of EverFly's software architecture. Although full completion of the project was interrupted by the onset of the COVID-19 pandemic, EverFly accomplished the critical goal of executing a successful autonomous battery exchange.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoenen_US
dc.titleEverFly: An Autonomous Drone Battery Exchange Systemen_US
dc.typePrinceton University Senior Theses
pu.date.classyear2020en_US
pu.departmentMechanical and Aerospace Engineeringen_US
pu.pdf.coverpageSeniorThesisCoverPage
pu.contributor.authorid961260170
pu.contributor.authorid961152533
pu.contributor.authorid920058268
pu.contributor.authorid961167226
pu.certificateRobotics & Intelligent Systems Programen_US
Appears in Collections:Mechanical and Aerospace Engineering, 1924-2023

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