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End-to-End Trade-Space Analysis for Designing ConstellationMultipoint measurement missions can provide a significant advancement in science return and this science interest coupled with as many recent technological advances are driving a growing trend in exploring distributed architectures for future NASA missions. Distributed Spacecraft Missions (DSMs) leverage multiple spacecraft to achieve one or more common goals. In particular, a constellation is the most general form of DSM with two or more spacecraft placed into specific orbit(s) for the purpose of serving a common objective (e.g., CYGNSS). Because a DSM architectural trade-space includes both monolithic and distributed design variables, DSM optimization is a large and complex problem with multiple conflicting objectives. Over the last two years, our team has been developing a Trade-space Analysis Tool for Constellations (TAT-C), implemented in common programming languages for pre-Phase A constellation mission analysis. By evaluating alternative mission architectures, TAT-C seeks to minimize cost and maximize performance for pre-defined science goals. This presentation will describe the overall architecture of TAT-C including: a User Interface (UI) at several levels of details and user expertise; Trade-space Search Requests that are created from the Science requirements gathered by the UI and validated by a Knowledge Base; a Knowledge Base to compare the current requests to prior mission concepts to potentially prune the trade-space; a Trade-space Search Iterator which, with inputs from the Knowledge Base, and, in collaboration with the Orbit & Coverage, Reduction & Metrics, and Cost& Risk modules, generates multiple potential architectures and their associated characteristics. TAT-C leverages the use of the Goddard Mission Analysis Tool (GMAT) to compute coverage and ancillary data, modeling orbits to balance accuracy and performance. The current version includes uniform and non-uniform Walker constellations as well as Ad-Hoc and precessing constellations, and its cost model represents an aggregate model consisting of Cost Estimating Relationships (CERs) from widely accepted models. The current GUI automatically generates graphics representing metrics such as average revisit time or coverage as a function of cost. The end-to-end system will be demonstrated as part of the presentation.
Document ID
20180000757
Acquisition Source
Goddard Space Flight Center
Document Type
Presentation
Authors
Le Moigne, Jacqueline (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Dabney, Philip (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Foreman, Veronica (Massachusetts Inst. of Tech. Cambridge, MA, United States)
Grogan, Paul T. (Stevens Inst. of Tech. Hoboken, NJ, United States)
Hache, Sigfried (Stevens Inst. of Tech. Hoboken, NJ, United States)
Holland, Matthew (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Hughes, Steven (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Nag, Sreeja (Bay Area Environmental Research Inst. Moffett Field, CA, United States)
Siddiqi, Afreen (Massachusetts Inst. of Tech. Cambridge, MA, United States)
Date Acquired
January 25, 2018
Publication Date
December 11, 2017
Subject Category
Computer Programming And Software
Astronautics (General)
Report/Patent Number
GSFC-E-DAA-TN50288
Meeting Information
Meeting: 2017 AGU Fall Meeting
Location: New Orleans, LA
Country: United States
Start Date: December 11, 2017
End Date: December 15, 2017
Sponsors: American Geophysical Union
Funding Number(s)
CONTRACT_GRANT: NNX12AD05A
CONTRACT_GRANT: NNX15AU90G
CONTRACT_GRANT: NNX17AE06G
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Keywords
Mission Desig

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