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Smallsat 2024 - Starling Cubesat Swarm Technology Demonstration Flight ResultsThe Starling swarm of four 6U CubeSats launched in July 2023 to test four key technologies to enable future swarm missions:
1) Mobile Ad-Hoc Networking (MANET) over a crosslink radio network
2) Autonomous onboard decision-making for operations
3) Optical-based absolute and relative navigation
4) Autonomous maneuver planning and execution
The Starling team implemented the Better Approach to Mobile Ad-hoc Networking (B.A.T.M.A.N.) protocol to automatically manage the crosslink network of four satellites. The B.A.T.M.A.N. protocol uses a decentralized approach to managing a multi-hop mesh network of devices, in this case, a satellite swarm. The four satellites were able to successfully establish a network at multiple data rates and demonstrate file transfer and command issuance between spacecraft over the network.
Starling incorporated Distributed Spacecraft Autonomy's (DSA) software to demonstrate onboard decision-making. The DSA software takes L1/L2 band GPS measurements and uses them to estimate the relative Total Electron Count (TEC) in the ionosphere. The onboard software then determines if there are any features of interest and provides that information to the other satellites over the crosslink network. The swarm of satellites then reaches a consensus on the optimal TEC observation strategy and adjusts its measurement collection tactics autonomously.
The Starling Formation-Flying Optical Experiment (StarFOX), produced by Stanford's Space Rendezvous Laboratory, uses the onboard star trackers to collect images of the other swarm spacecraft and produce angles-only navigation estimates. This system is envisioned to be valuable in applications in which Global Navigation Satellite Systems (GNSS) are not available, such as in cis-lunar or deep space. StarFOX successfully applied its algorithms to multiple simultaneous spacecraft targets using the star tracker imagery.
Finally, Starling used Emergent Space's Cluster Flight Application (CFA) software suite for the Reconfiguration and Orbit Maintenance Experiments Onboard (ROMEO) demonstration of autonomously planning and executing propulsive maneuvers. Large swarms will need to be able to maintain formation requirements with minimal operator involvement, especially as the size of the swarm scales up. Results from the ROMEO experiment are presented.
Starling is funded by the Small Spacecraft Technology (SST) program out of NASA's Space Technology Mission Directorate (STMD).
Document ID
20240006994
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Scott Miller
(Ames Research Center Mountain View, United States)
Caleb Adams
(Ames Research Center Mountain View, United States)
Nahum Alem
(Ames Research Center Mountain View, United States)
Howard Cannon
(Ames Research Center Mountain View, United States)
Randy Grashuis
(Wyle (United States) El Segundo, California, United States)
Ted Hendriks
(Millennium Engineering and Integration (United States) Arlington, Virginia, United States)
Soon Hwang
(Ames Research Center Mountain View, United States)
Michael Iatauro
(Ames Research Center Mountain View, United States)
Craig Pires
(Ames Research Center Mountain View, United States)
Justin Kruger
(Stanford University Stanford, United States)
Simone D' Amico
(Stanford University Stanford, United States)
Date Acquired
May 30, 2024
Publication Date
June 10, 2024
Publication Information
Publication: Proceedings of the 38th Annual Small Satellite Conference
Publisher: Small Satellite Conference
Volume: SSC24
URL: https://digitalcommons.usu.edu/smallsat/
Subject Category
Spacecraft Design, Testing and Performance
Report/Patent Number
SSC24-I-06
Meeting Information
Meeting: 38th Annual Small Satellite Conference
Location: Logan, UT
Country: US
Start Date: August 3, 2024
End Date: August 8, 2024
Sponsors: Utah State University
Funding Number(s)
CONTRACT_GRANT: 80NSSC18M0058
CONTRACT_GRANT: 80ARC020D0010
CONTRACT_GRANT: 80ARC021D0001
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
NASA Peer Committee
Keywords
distributed systems
swarms
technology demonstration
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