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LYAPUNOV-Based Sensor Failure Detection and Recovery for the Reverse Water Gas Shift ProcessLivingstone, a model-based AI software system, is planned for use in the autonomous fault diagnosis, reconfiguration, and control of the oxygen-producing reverse water gas shift (RWGS) process test-bed located in the Applied Chemistry Laboratory at KSC. In this report the RWGS process is first briefly described and an overview of Livingstone is given. Next, a Lyapunov-based approach for detecting and recovering from sensor failures, differing significantly from that used by Livingstone, is presented. In this new method, models used are in t e m of the defining differential equations of system components, thus differing from the qualitative, static models used by Livingstone. An easily computed scalar inequality constraint, expressed in terms of sensed system variables, is used to determine the existence of sensor failures. In the event of sensor failure, an observer/estimator is used for determining which sensors have failed. The theory underlying the new approach is developed. Finally, a recommendation is made to use the Lyapunov-based approach to complement the capability of Livingstone and to use this combination in the RWGS process.
Document ID
20030002471
Acquisition Source
Kennedy Space Center
Document Type
Other
Authors
Haralambous, Michael G.
(University of Central Florida Orlando, FL United States)
Date Acquired
August 21, 2013
Publication Date
June 1, 2002
Publication Information
Publication: 2000 Final Administrative Report NASA/ASEE Summer Faculty Fellowship Program
Subject Category
Quality Assurance And Reliability
Funding Number(s)
CONTRACT_GRANT: NAG10-280
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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