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Sensor Analysis, Modeling, and Test for Robust Propulsion System AutonomyAn approach is presented supporting analysis, modeling, and test validation of operational flight instrumentation (OFI) that facilitates critical functions for the Space Launch System (SLS) main propulsion system (MPS). Certain types of OFI sensors were shown to exhibit highly nonlinear and non-gaussian noise characteristics during acceptance testing, motivating the development of advanced modeling and simulation (M&S) capability to support algorithm verification and flight certification. Hardware model and algorithm simulation fidelity was informed by a risk scoring metric; redesign of high-risk algorithms using test-validated sensor models significantly improved their expected performance as evaluated using Monte Carlo acceptance sampling methods. Autonomous functions include closed-loop ullage pressure regulation, pressurant leak detection, and fault isolation for automated safing and crew caution and warning (C&W).
Document ID
20190002109
Acquisition Source
Marshall Space Flight Center
Document Type
Conference Paper
Authors
Orr, Jeb S.
(Jacobs Engineering and Science Services and Skills Augmentation Group (ESSSA) Huntsville, AL, United States)
Date Acquired
April 1, 2019
Publication Date
February 1, 2019
Subject Category
Spacecraft Propulsion And Power
Report/Patent Number
AAS 19-103
M19-7260
Meeting Information
Meeting: Annual AAS Guidance and Control Conference
Location: Breckenridge, CO
Country: United States
Start Date: February 1, 2019
End Date: February 6, 2019
Sponsors: American Astronomical Society
Funding Number(s)
CONTRACT_GRANT: 80MSFC18C0011
Distribution Limits
Public
Copyright
Public Use Permitted.
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