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The Module for Event Driven Operations on Spacecraft (MEDOS)The Module for Event Driven Operations on Spacecraft (MEDOS) is a framework for real time operational decisions based on detected events from on-board measurements. MEDOS calculates derived parameters, which are physically meaningful and relevant to a mission planner. These derived parameters are then compared, using fuzzy sets, to typical (e.g. published) values of the given parameter and a confidence is produced that the event in question has occurred. Operational responses can then be triggered to detected events. MEDOS has been validated using raw flight data from the MMS mission, and has been verified on flight hardware for a NASA TRL-6 rating. Because MEDOS utilizes processes well understood and developed by the community in question, and due to the nature of events being presented as a likelihood rather than a definitive, it achieves a level of trust that can enable future mission infusion for operational space missions.
Document ID
20250002215
Acquisition Source
Goddard Space Flight Center
Document Type
Preprint (Draft being sent to journal)
Authors
Alexander C Barrie
(Aurora Engineering)
Miles Bengtson
(Aurora Engineering Kirtland AFB, Albuquerque, NM, USA)
Liam Greenlee
(Aurora Engineering)
Joseph Patton
(Aurora Engineering)
Ryan Kinney
(Aurora Engineering)
Connor Firth
(Aurora Engineering)
Stewart Doe
(Aurora Engineering)
Paul Woo
(Southwest Research Institute San Antonio, United States)
Robert Klar
(Southwest Research Institute San Antonio, United States)
Russell Bjella
(University of Colorado Boulder Boulder, United States)
Brandon Stone
(University of Colorado Boulder Boulder, United States)
Marcus Piquette
(University of Colorado Boulder Boulder, United States)
Christopher Pankratz
(University of Colorado Boulder Boulder, United States)
Wayne Yu
(Goddard Space Flight Center Greenbelt, United States)
Date Acquired
February 28, 2025
Publication Date
March 31, 2025
Publication Information
Publication: Journal of Spacecraft and Rockets (JSR)
Publisher: American Institute of Aeronautics and Astronautics
ISSN: 0022-4650
e-ISSN: 1533-6794
Subject Category
Systems Analysis and Operations Research
Funding Number(s)
CONTRACT_GRANT: 80NSSC24CA034
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
Single Expert
Keywords
event detection
operations
autonomy
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