Validation Tools and Methods for Diagnostic Systems

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX09CB17C
Agency Tracking Number: 074872
Amount: $599,988.00
Phase: Phase II
Program: SBIR
Awards Year: 2009
Solicitation Year: 2007
Solicitation Topic Code: A1.11
Solicitation Number: N/A
Small Business Information
Barron Associates, Inc.
1410 Sachem Place, Suite 202, Charlottesville, VA, 22901-2559
DUNS: 120839477
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Alec Bateman
 Principal Investigator
 (434) 973-1215
Business Contact
 Connie Hoover
Title: General Manager
Phone: (434) 973-1215
Research Institution
The potential benefits of advanced algorithms for diagnostics and prognostics, inner-loop control, and other flight critical systems have been demonstrated in a number of research efforts. Because many of the new algorithms differ significantly from the approaches used in most operational vehicles, and because of factors such as non-deterministic behavior due to adaptation, flight certification of the approaches has been challenging. Verification and validation (V&V) of advanced control laws has received significant research attention, and progress has been made in terms of tools, methods, and architectures for facilitating V&V. Building on this prior V&V work, the proposed research will develop innovative methods and tools for validation of diagnostic systems. The Phase I research demonstrated the value of probabilistic analysis in general, and generalized Polynomial Chaos techniques specifically for measuring diagnostic system performance. The Phase II research will further develop probabilistic methods, and will combine them with worst-case analysis techniques to assess traditional diagnostic system metrics, as well as interactions between diagnostic systems and inner-loop control approaches. Building on the CAESAR tool control law validation tool, a software package to facilitate validation of diagnostic systems will be implemented, and the tool will be demonstrated on a representative diagnostic system.

* information listed above is at the time of submission.

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