2026-09-19T18:48:31Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/430832022-01-13T07:54:11Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
David W. Miller.
Berkovitz, Dustin S. (Dustin Scott)
Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics.
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
2008-11-07T19:00:12Z
2008-11-07T19:00:12Z
2008
2008
http://hdl.handle.net/1721.1/43083
244387345
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2008.
Includes bibliographical references (p. 89-91).
The National Aeronautics and Space Administration (NASA) and other entities in the aerospace industry have recently been considering distributed architectures for many space applications, such as space-based interferometry. Whether the craft in such a system are structurally connected or flown in tight formation, distribution allows for higher redundancy in case of failures as well as reducing the minimum payload footprint for launch. Designed to fly in precise formation, the SPHERES satellites rely on accurate system characteristics such as thruster strength and vehicle mass and inertia. The SPHERES testbed is described and the applications for formation flight are presented. Mass properties of the SPHERES satellites are examined because of their impact on control determination, with comparison between CAD model estimates and empirically determined values. The sensor and actuator suite, essential for closed-loop control, are also identified and characterized. A recursive least squares algorithm for determining mass properties in real time is explained and implemented both offline and online with results from test flights aboard NASA's KC-135 micro-gravity aircraft (Reduced Gravity Airplane, RGA).
by Dustin S. Berkovitz.
S.M.
155 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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http://dspace.mit.edu/handle/1721.1/7582
Aeronautics and Astronautics.
System characterization and online mass property identification of the SPHERES formation flight testbed
System characterization and online mass property identification of the Synchronized Position-Hold, Engage, Reorient Experimental Satellite formation flight testbed
Thesis
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