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Please use this identifier to cite or link to this item: http://hdl.handle.net/1853/8045

Title: An Auction Algorithm for Optimal Satellite Refueling
Authors: Salazar, Alexandros
Tsiotras, Panagiotis
Georgia Institute of Technology. Space Systems Design Lab
Georgia Institute of Technology. School of Aerospace Engineering
Subjects : Peer-to-peer satellite refueling
Satellite life extension
Satellite constellations
Auction algorithms
Satellite refueling
Issue Date: 10-Nov-2005
Publisher: Georgia Institute of Technology
Series/Report no.: SSEC05. Session F;GT-SSEC.F.5
Abstract: Satellite refueling can extend the lifetime of satellite constellations. Peer-to-peer satellite refueling in particular has the potential to make the most efficient use of the fuel contained in the constellation by redistributing it as on a need-to basis. In this paper we present an alternative implementation of P2P refueling, namely pairing up fuel sufficient satellites with fuel deficient satellites so that they can refuel each other and guarantee that each satellite has more than a certain baseline amount of fuel. To solve this problem we make use of the auction algorithm, which is implemented in a distributed context. Asynchronous bids have been used to illustrate the robustness of the algorithm.
Description: This conference features the work of authors from: Georgia Tech’s Space Systems Design Lab, Aerospace Systems Design Lab, School of Aerospace Engineering, Georgia Tech Research Institute; NASA’s Jet Propulsion Laboratory, Marshall Space Flight Center, Goddard Space Flight Center, Langley Research Center; and other aerospace industry and academic institutions
Type: Presentation
URI: http://hdl.handle.net/1853/8045
Appears in Collections:SSEC05. Session F: University Session II
Space Systems Engineering Conference (1st - Atlanta - 2005)

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