Distributed Spacecraft with Heuristic Intelligence to Enable Logistical Decisions (D-SHIELD) is a suite of scalable software methods and frameworks to helps schedule payload operations of a large constellation, with multiple payloads per and across spacecraft, such that the collection of observational data and their downlink, constrained by the constellation constraints (orbital mechanics), resources (e.g., power) and subsystems (e.g., attitude control), results in maximum science value for a selected use case. Constellation topology, spacecraft and ground network characteristics can be imported from design tools or existing constellations. The framework includes a science simulator to inform the scheduler of the predictive value of observations or operational decisions.
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instrupy
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orbitpy
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eosim-gui
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adcspy
TBD: Describe a closed-loop simulation run.
This work has been funded by grants from the National Aeronautics and Space Administration (NASA) Earth Science Technology Office (ESTO) through the Advanced Information Systems Technology (AIST) Program.
Please contact Sreeja Nag (sreeja.nag [at] nasa.gov or sreejanag [at] alum.mit.edu)
Bay Area Environment Research Institute, Moffett Field, CA 94035, USA
NASA Ames Research Center, Moffett Field, CA 94035, USA