NDLI: Simulation-based Design and Validation of Automated Contingency Management for Propulsion Systems

Content Provider	IEEE Xplore Digital Library
Author	Liang Tang Saxena, A. Orchard, M.E. Kacprzynski, G.J. Vachtsevanos, G. Patterson-Hine, A.
Copyright Year	2007
Description	Author affiliation: Impact Technol., LLC, Rochester (Liang Tang)
Abstract	Automated contingency management (ACM), or the ability to confidently and autonomously adapt to fault and/or contingency conditions with the goal of still achieving mission objectives, can be considered the ultimate technological goal of a health management system. To establish confidence on the ACM system, objective performance evaluations should be executed. The need for verification and validation (V&V) techniques for ACM has also been specifically identified by DOD agencies and within the NASA community recently. This paper presents a general process and related techniques for developing and validating ACM systems for advanced propulsion systems. A novel ACM modeling paradigm, optimization-based ACM strategies, V&V approaches and performance metrics are developed. While some well-established formal methods such as model checking techniques are applicable to some sub-problems, this research has been more focused on innovative informal methods that attempt to address ACM performance requirements, optimality, robustness, etc. A pressure fed, monopropellant propulsion system for a small space flight vehicle is utilized as initial proof-of-concept implementation for the proposed techniques and preliminary simulation results are presented.
Starting Page	1
Ending Page	11
File Size	1074998
Page Count	11
File Format	PDF
ISBN	1424405246
ISSN	1095323X
DOI	10.1109/AERO.2007.352838
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-03-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Contingency management Propulsion Space technology Technology management US Department of Defense NASA Measurement Robustness Space vehicles Aerospace simulation
Content Type	Text
Resource Type	Article
Subject	Aerospace Engineering Space and Planetary Science

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