Automated ground maintenance and health management for autonomous unmanned aerial vehicles
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2008
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| Online Access: | http://hdl.handle.net/1721.1/41541 |
| _version_ | 1811079888039313408 |
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| author | Dale, Daniel R., M. Eng. Massachusetts Institute of Technology |
| author2 | Jonathan P. How. |
| author_facet | Jonathan P. How. Dale, Daniel R., M. Eng. Massachusetts Institute of Technology |
| author_sort | Dale, Daniel R., M. Eng. Massachusetts Institute of Technology |
| collection | MIT |
| description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007. |
| first_indexed | 2024-09-23T11:22:10Z |
| format | Thesis |
| id | mit-1721.1/41541 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T11:22:10Z |
| publishDate | 2008 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/415412019-04-11T14:25:02Z Automated ground maintenance and health management for autonomous unmanned aerial vehicles Dale, Daniel R., M. Eng. Massachusetts Institute of Technology Jonathan P. How. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Includes bibliographical references (p. 99-101). Automated ground maintenance is a necessity for multi-UAV systems. Without such automation, these systems will become more of a burden than a benefit as human operators struggle to contend with maintenance operations for large numbers of vehicles. By creating autonomous UAV systems that can take care of themselves, human operators will be free to concentrate on higher level tasks such as using the information gathered by the system to direct future mission activities. This thesis describes the design, testing, construction, and usage of the first fully autonomous recharge system for small, battery-powered UAVs. This system was used to perform the first fully-autonomous quadrotor UAV long-term flight tests and to conduct multi-UAV mission management research. In addition, this thesis describes, to the best of our knowledge, the first landing and recharge of a UAV on a mobile recharge platform. by Daniel R. Dale. M.Eng. 2008-05-19T14:58:31Z 2008-05-19T14:58:31Z 2007 2007 Thesis http://hdl.handle.net/1721.1/41541 219716342 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 101 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Dale, Daniel R., M. Eng. Massachusetts Institute of Technology Automated ground maintenance and health management for autonomous unmanned aerial vehicles |
| title | Automated ground maintenance and health management for autonomous unmanned aerial vehicles |
| title_full | Automated ground maintenance and health management for autonomous unmanned aerial vehicles |
| title_fullStr | Automated ground maintenance and health management for autonomous unmanned aerial vehicles |
| title_full_unstemmed | Automated ground maintenance and health management for autonomous unmanned aerial vehicles |
| title_short | Automated ground maintenance and health management for autonomous unmanned aerial vehicles |
| title_sort | automated ground maintenance and health management for autonomous unmanned aerial vehicles |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/41541 |
| work_keys_str_mv | AT daledanielrmengmassachusettsinstituteoftechnology automatedgroundmaintenanceandhealthmanagementforautonomousunmannedaerialvehicles |