NASA SBIR 2006 Solicitation

FORM B - PROPOSAL SUMMARY


PROPOSAL NUMBER: 06-2 A1.07-9512
PHASE 1 CONTRACT NUMBER: NNL07AA72P
SUBTOPIC TITLE: Integrated Vehicle Health Management
PROPOSAL TITLE: Real-Time Adaptive Algorithms for Flight Control Diagnostics and Prognostics

SMALL BUSINESS CONCERN (Firm Name, Mail Address, City/State/Zip, Phone)
Barron Associates, Inc.
1410 Sachem Place, Suite 202
Charlottesville, VA 22901 - 0807
(434) 973-1215

PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
Jason O. Burkholder
barron@bainet.com
1410 Sachem Place, Suite 202
Charlottesville, VA 22901 - 2559
(434) 973-1215

TECHNICAL ABSTRACT (Limit 2000 characters, approximately 200 words)
The overall objective of this research program is to improve the affordability, survivability, and service life of next generation aircraft through the use of ADAPT --- an integrated adaptive diagnostic and prognostic toolbox. The specific focus of the research effort is adaptive diagnostic and prognostic algorithms for systems with slowly-varying dynamics. Model-based machinery diagnostic and prognostic techniques depend upon high-quality mathematical models of the plant. Modeling uncertainties and errors decrease system sensitivity to faults and decrease the accuracy of failure prognoses. However, the behavior of many physical systems changes slowly over time as the system ages. These changes may be perfectly normal and not indicative of impending failures; however, if a static model is used, modeling errors may increase over time, which can adversely affect health monitoring system performance. Clearly, one method to address this problem is to employ a model that adapts to system changes over time. The risk in using data-driven models that learn online to support model-based diagnostics is that the models may "adapt" to a system failure, thus rendering it undetectable by the diagnostic algorithms. An inherent trade-off exists between accurately tracking normal variations in system dynamics and potentially obscuring slow-onset failures by adapting to failure precursors that would be evident using static models. The proposed ADAPT will feature an innovative new parameter estimation algorithm and new adaptive observer / Kalman filter techniques designed specifically for health monitoring. The research team of Barron Associates, Inc., the University of Virginia, and Lockheed Martin Aeronautics Company will demonstrate ADAPT using a high-fidelity electro-hydrostatic actuator simulation.

POTENTIAL NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
The tool developed in this SBIR addresses an area of theoretical and practical importance to facilitate widespread application model-based health monitoring systems and model-based fault tolerant adaptive control systems. Non-NASA adaptive health monitoring applications will target significant advances for numerous aerospace and land-based systems, including military fixed-wing aircraft, unmanned air vehicles, military and civilian land-based vehicles, shipboard systems, and commercial and general aviation aircraft. The vast array of corporations and federally-funded entities currently engaged in prognostics and health management research and development creates the potential for a large contract R&D market. Furthermore, the proposed ADAPT technology provides a natural complement to other advanced intelligent vehicle control products already under development at Barron Associates.

POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
This research effort clearly offers the potential for a significant leap in vehicle performance, operation, safety, and capability. The technology will require a demonstration in an actual-flight environment to fully characterize and validate the performance that is predicted in simulation. The research is particularly relevant to NASA's Intelligent Flight Control System (IFCS), which has the objective of enabling a pilot to land an aircraft that has suffered a major systems failure or combat damage, and also to the Single Aircraft Accident Prevention thrust of the Aviation Safety Program in which Barron Associates has participated for a number of years. The ADAPT Toolbox will allow NASA and other commercial and military customers to develop adaptive health monitoring capabilities for many dynamic systems.

NASA's technology taxonomy has been developed by the SBIR-STTR program to disseminate awareness of proposed and awarded R/R&D in the agency. It is a listing of over 100 technologies, sorted into broad categories, of interest to NASA.

TECHNOLOGY TAXONOMY MAPPING
Autonomous Reasoning/Artificial Intelligence
Expert Systems


Form Generated on 08-02-07 14:39