Topology Control Algorithms for Spacecraft Formation Flying Networks Under Connectivity and Time-Delay Constraints, Phase II

Metadata Updated: May 2, 2019

SSCI is proposing to develop, test and deliver a set of topology control algorithms and software 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 global properties such as the network connectivity for formation flying.

Phase I effort resulted in the development of a unified framework for the design and analysis of many topology control problems associated with formation flying spacecraft. A novel game-theoretic approach to network topology control was successfully applied to key trajectory design problems such as formation initialization and reconfiguration in the presence of local and global constraints.

Phase II effort will deliver a complete set of algorithms and software tools to help the NASA TPF-I team plan and evaluate missions for candidate TPF-I architectures. In order to achieve these objectives, we plan to carry out the following tasks:

(i) Further refinements and testing of the game-theoretic approach to state-dependent network synthesis problems and trajectory-following in the absence of centralization, (ii) Development and testing of convex parameterization of path-planning problems for multiple spacecraft formations, (iii) Demonstration of the application of the developed novel methods to TPF-I baseline mission.

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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Public: This dataset is intended for public access and use. License: U.S. Government Work

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Metadata Created Date August 1, 2018
Metadata Updated Date May 2, 2019

Metadata Source

Harvested from NASA Data.json

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Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date May 2, 2019
Publisher Space Technology Mission Directorate
Unique Identifier TECHPORT_8473
Maintainer Email
Public Access Level public
Bureau Code 026:00
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Harvest Source Title NASA Data.json
Data First Published 2011-12-01
Homepage URL
Data Last Modified 2018-07-19
Program Code 026:027
Source Datajson Identifier True
Source Hash 6bddd1475cc7cf67c0df23112b3573640be33fcb
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