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Prognostics Enhancemend Fault-Tolerant Control with an Application to a Hovercraft

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX11CC50C
Agency Tracking Number: 090049
Amount: $599,960.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: T1.01
Solicitation Number: N/A
Solicitation Year: 2009
Award Year: 2011
Award Start Date (Proposal Award Date): 2011-07-01
Award End Date (Contract End Date): 2013-06-30
Small Business Information
Rochester, NY 14623-2893
United States
DUNS: 073955507
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 George Vachtsevanos
 Principal Investigator
 (585) 424-1990
Business Contact
 Carol Marquardt
Title: Business Official
Phone: (585) 424-1990
Research Institution
 Georgia Insitute of Technology
 R. Paul Hart
505 Tenth St. NW
Atlanta, GA 30332-0420
United States

 () -
 Domestic Nonprofit Research Organization

Fault-Tolerant Control (FTC) is an emerging area of engineering and scientific research that integrates prognostics, health management concepts and intelligent control. Impact Technologies and the Georgia Institute of Technology, propose to build off of a strong foundation in fault-tolerant control (FTC) research performed with NASA in past years to mature the applicability of this technology and push the envelope on the capability and breadth of the technology itself. We are introducing for this purpose two novel concepts to expand the scope of fault tolerance and improve the safety and availability of such critical assets. Building upon the successes of Phase I, we will develop and apply to the hovercraft (a targeted testbed) a reconfigurable control strategy that relies on current prognostic information to maintain the platform's stable operation and complete its mission successfully. The second innovation to be introduced refers to a challenging problem encountered in complex systems such as aircraft platforms: A multitude of critical system components can not be monitored directly due to a lack of appropriate sensing modalities. We will introduce a Model Based Reasoning approach and frequency demodulation tools to resolve the ambiguity and "unmask" those fault variables that can not be observed directly.

* Information listed above is at the time of submission. *

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