Novel Approaches for Spacecraft Formation Robustness and Performance using Distributed Estimation, Control and Communication, Phase I

Metadata Updated: November 12, 2020

Formation flight can provide the benefits of a large effective telescope using precision formation flying of smaller, lower cost, collaborating telescopes. A decentralized architecture for estimation and control provides several key advantages including reduced communication and processing overheads as well as increased tolerance to a single point of failure. Since a decentralized design relies on communicating information between individual spacecraft, it becomes critical to enumerate and quantify the effect of information sharing on estimation, control and guidance systems performance for the entire formation. The goal of this project is to analyze these interactions between information communication, estimation, control and guidance systems as well as to develop analysis tools to help the TPFI team evaluate various trade-offs involved in designing these systems. During the proposed effort, we will bring together new advances in the fields of Robust Control, Risk Sensitive Optimal (RSO) control, and Covariance Intersection (CI) to combine information shared across the formation. We will study the impact of communications topologies on estimation performance, develop methods to reduce disagreements between parallel estimators, design control and guidance laws that are robust to estimation disagreements and study scalability issues for formations with large number of spacecraft. Phase I effort will also deliver a software analysis tool to help the NASA TPFI team evaluate trade-offs for candidate TPFI architectures.

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Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Publisher Space Technology Mission Directorate
Unique Identifier Unknown
Identifier TECHPORT_6759
Data First Published 2008-08-01
Data Last Modified 2020-01-29
Public Access Level public
Bureau Code 026:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Homepage URL
Program Code 026:027
Source Datajson Identifier True
Source Hash c52ff96baaade0cb8ee09813bd06ae4963d7a9e7
Source Schema Version 1.1

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