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Topology Control Algorithms for Spacecraft Formation Flying Networks Under Connectivity and Time-Delay Constraints Project

Summary

Type of release
a one-off release of a single dataset

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

Release Date
9 April 2015
Modified Date
8 July 2015
Publishers
National Aeronautics and Space Administration
Keywords
completed, jet-propulsion-laboratory, project
Identifier
topology-control-algorithms-for-spacecraft-formation-flying-networks-under-connectivity-an
Landing Page
http://techport.nasa.gov/view/7989
Maintainers
Gary Jahns gary.c.jahns@nasa.gov
Language
en-US

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Description

SSCI is proposing to develop a set of topology control algorithms for a formation flying spacecraft that can be used to design and evaluate candidate formation architectures. Properties of these topology control algorithms include: (a) Preserving the connectivity of the underlying state-dependent sensing graph during reconfiguration and re-targeting of the formation; (b) Achieving a balanced interplay between performance and robustness to communication delays; and (c) Using only local information to make local decisions that collectively guarantee the global properties such as the network connectivity. Phase I effort will deliver a preliminary software analysis tool to help the NASA TPFI team evaluate these trade-offs for candidate TPFI architectures. In order to achieve these objectives we plan to carry out the following tasks: (i) Develop algorithms to maximize the connectivity under limited FOV constraints. (ii) Analyze the trade-off between network connectivity and robustness to communication delays. (iii) Design algorithms to maintain connectivity during a pre-specified reconfiguration with energy optimal trajectories. (iv) Demonstrate the application of the developed methods to TPF-I baseline mission. In Phase II the goal is to deliver to NASA a complete set of algorithms and software tools to perform distributed communication design for TPF-I as well as other formation flying missions that may involve a larger number of spacecraft. These algorithms and software will be tested on high fidelity formation flying testbeds at JPL such as FAST or FCT.Professor Mehran Mesabhi of University of Washington will provide technical support under the project.

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This dataset has been created by US Government which means it is required to be in the public domain. However US copyright law only allows open access by US citizens, we have assumed the data is equivalently licensed as CC0 for the rest of the world as this is in the spirit of the US Government’s Open Data policy.

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