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Supervised Autonomous Assembly to Create and Evolve Persistent AssetsSupervised autonomous assembly (SAA) will create a paradigm shift in the planning and design of future persistent assets (PAs), both in near zero-g environments and on planetary surfaces. SAA refers to an autonomy approach that has the benefits of autonomous assembly as well as the benefits provided by a supervisor (operator) who is available to resolve unexpected situations. SAA provides both increased design freedom as well as reduced programmatic risk. SAA enables evolution of future PAs over decades as in-space operations transition from single purpose missions to creation of PAs, such as laboratories and experimental stations which more closely resembling terrestrial laboratories that can easily adapt and evolve to new missions leveraging repeated visits to the PA. The ability to evolve enables PAs to rapidly respond to changing objectives resulting from new questions as our understanding improves.
A recently initiated National Aeronautics and Space Administration (NASA) project in the Space Technology Mission Directorate (STMD) Game Changing Development (GCD) Program called the Precision Assembled Space Structure (PASS), leverages the advantages of SAA to develop technologies that enable efficient creation and evolution of hexagonal topologies; both planar (example: fuel depots) and curved (examples: telescopes and shelters). PASS will be used to provide context for the philosophy and concepts discussed as well as the decision and selections made.
PASS objectives are:
a) Develop confidence in SAA and on-orbit servicing, assembly and manufacturing (OSAM) technologies by executing a test campaign that uses a path-to-flight autonomous precision assembly process directly applicable to future space telescopes.
b) Test autonomous technologies including automated path planning and error recovery, to emphasize a robust approach that relies on generic robots and special purpose tools.
c) Validate critical component models using a digital twin that includes the assembled primary mirror support structure and assembly process. A digital twin is a high-fidelity simulation of the asset capable of predicting the on-orbit performance.
The paper concludes after identifying the critical need for a modest assembly flight experiment to validate and develop confidence in the SAA paradigm, thus accelerating adoption of the benefits described. SAA is a game changing paradigm that enhances the ability of an organization to infuse new technology through rapid evolution of PAs while leveraging OSAM technologies.
Document ID
20210024253
Acquisition Source
Langley Research Center
Document Type
Conference Paper
Authors
William R Doggett
(Langley Research Center Hampton, Virginia, United States)
John T Dorsey
(Langley Research Center Hampton, Virginia, United States)
Brace W White
(Langley Research Center Hampton, Virginia, United States)
Kyong Chan Song
(Langley Research Center Hampton, Virginia, United States)
Lauren M Simmons
(Langley Research Center Hampton, Virginia, United States)
Julia E Cline
(Langley Research Center Hampton, Virginia, United States)
John E Teter
(Langley Research Center Hampton, Virginia, United States)
David S Kang
(Langley Research Center Hampton, Virginia, United States)
Danette Allen
(Langley Research Center Hampton, Virginia, United States)
Benjamin N Kelley
(Langley Research Center Hampton, Virginia, United States)
John R Cooper
(Langley Research Center Hampton, Virginia, United States)
Iok M Wong
(National Institute of Aerospace Hampton, Virginia, United States)
Walter Waltz
(Langley Research Center Hampton, Virginia, United States)
Carl Mills
(Langley Research Center Hampton, Virginia, United States)
James Plant
(Langley Research Center Hampton, Virginia, United States)
Jason R Neuhaus
(Langley Research Center Hampton, Virginia, United States)
Scott Michael
(Langley Research Center Hampton, Virginia, United States)
Patrick A Cosgrove
(Langley Research Center Hampton, Virginia, United States)
Martin M Mikulas
(National Institute of Aerospace Hampton, Virginia, United States)
Ralph A Williams
(Analytical Mechanics Associates (United States) Hampton, Virginia, United States)
Sherif Shazly
(Analytical Mechanics Associates (United States) Hampton, Virginia, United States)
David Long
(Analytical Mechanics Associates (United States) Hampton, Virginia, United States)
Ron Neale
(Analytical Mechanics Associates (United States) Hampton, Virginia, United States)
Date Acquired
November 11, 2021
Subject Category
Structural Mechanics
Meeting Information
Meeting: AIAA SciTech Forum
Location: San Diego, CA (Virtual)
Country: US
Start Date: January 3, 2022
End Date: January 7, 2022
Sponsors: American Institute of Aeronautics and Astronautics
Funding Number(s)
WBS: 969115.04.35.23
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
Single Expert
Keywords
Structural Modeling
Analysis-based buckling design
Shell buckling
Finite Element
Imperfection Sensitivity
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