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A Novel Battery Management & Charging Solution for Autonomous UAV Systems


Abstract Currently, one of the biggest limiting factors for long-term deployment of autonomous systems is the power constraints of a platform. In particular, for aerial robots such as unmanned aerial vehicles (UAVs), the energy resource is the main driver of mission planning and operation definitions, as everything revolved around flight time. The focus of this work is to develop a new method of energy storage and charging for autonomous UAV systems, for use during long-term deployments in a constrained environment. We developed a charging solution that allows pre-equipped UAV system to land on top of designated charging pads and rapidly replenish their battery reserves, using a contact charging point. This system is designed to work with all types ... (more)
Created Date 2018
Contributor Mian, Sami (Author) / Panchanathan, Sethuraman (Advisor) / Berman, Spring (Committee member) / Yang, Yezhou (Committee member) / McDaniel, Troy (Committee member) / Arizona State University (Publisher)
Subject Computer engineering / Robotics / Mathematics / Autonomous Systems / Battery Technologies / Power Optimization / Smart Cities / Swarm Robotics / Unmanned Aerial Vechiles
Type Masters Thesis
Extent 117 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Masters Thesis Computer Engineering 2018
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


This content is under embargo until May 07, 2020

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Description Dissertation/Thesis