Livingstone_AIAASpace2004.doc

Livingstone_AIAASpace2004.doc - Advanced Diagnostic System...

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Advanced Diagnostic System on Earth Observing One Sandra C. Hayden 1 Adam J. Sweet 2 Ames Research Center, QSS Group, Inc, Moffett Field, CA, 94035, USA Scott E. Christa 3 Ames Research Center, AerospaceComputing, Inc., Moffett Field, CA, 94035, USA Daniel Tran 4 Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109-8099, USA Seth Shulman Goddard Space Flight Center, Honeywell, Greenbelt, MD, 20771, USA In   this   infusion   experiment,   the   Livingstone   2   (L2)   model-based   diagnosis   engine, developed by the Computational Sciences division at NASA Ames Research Center, has been uploaded to the Earth Observing One (EO-1) satellite. L2 is integrated with the Autonomous Sciencecraft  Experiment  (ASE)  which  provides  an on-board planning  capability and a software bridge to the spacecraft’s 1773 data bus .   Using   a   model   of   the   spacecraft subsystems, L2 predicts nominal state transitions initiated by control commands, monitors the spacecraft sensors, and, in the case of failure, isolates the fault based on the discrepant observations. Fault detection and isolation is done by determining a set of component modes, including most likely failures, which satisfy the current observations. All mode transitions and diagnoses are telemetered to the ground for analysis. The initial L2  model is scoped to EO-1's imaging instruments and solid state recorder. Diagnostic scenarios for EO-1’s nominal imaging timeline are demonstrated by injecting simulated faults on-board the spacecraft. The solid state recorder stores the science images and also hosts the experiment software. The main objective of the experiment is to mature the L2 technology to Technology Readiness Level (TRL) 7. Experiment results are presented, as well as a discussion of the challenging technical issues encountered. Future extensions may explore coordination with the planner, and model-based ground operations. I. Introduction ENESIS project manager, Don Sweetnam, on the Genesis crash in September 2004 after parachutes failed to open: “Keep in mind that when we buttoned the system up at Kennedy Space Center and launched it in 2001, its fate was sealed,” he said. “There was really nothing we could do at this stage to change the outcome.” NASA has recently experienced a string of such failures: Columbia, Mars Polar Lander, Mars Climate Orbiter and Mars Observer. The common theme is that our current space systems have limited capability to recognize when the mission is in danger and recover to save the day. What is called for is a paradigm shift to a new strategy recognizing that mission-critical systems need on-board decision support, especially when operating without human oversight.
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