An Approach to Health Management and Sustainability for Critical Aircraft Systems

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX10RA81P
Agency Tracking Number: 090049
Amount: $99,703.00
Phase: Phase I
Program: STTR
Awards Year: 2010
Solicitation Year: 2009
Solicitation Topic Code: T1.01
Solicitation Number: N/A
Small Business Information
200 Canal View Blvd., Rochester, NY, 14623-2893
DUNS: 073955507
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 George Vachtsevanos
 Principal Investigator
 () -
Business Contact
 Carol Marquardt
Title: Business Official
Phone: (585) 627-1923
Research Institution
 Georgia Insitute of Technology
 Not Available
 505 Tenth Street, NW
Atlanta, AK, 30332
 (404) 894-6929
 Domestic nonprofit research organization
Impact Technologies, in collaboration with the Georgia Institute of Technology and its industrial partners, proposes to develop and demonstrate innovative technologies to integrate anomaly detection and failure prognosis algorithms into automated fault mitigation strategies for advanced aircraft controls. Traditional reactive fault tolerant control approaches fail to provide optimal fault mitigation over a long period of time to guarantee the integrity of the platform for the mission duration. We will create a generic simulation environment to demonstrate fault detection and progression at the component level, using electromechanical actuators as a testbench. The proposed Anomaly Detection/Mitigation system accepts sensor inputs, extracts features from raw data and employs an anomaly detection module to determine the presence of an anomaly with performance guarantees; a prognostic routine, built on Bayesian estimation (particle filtering) techniques to estimate the remaining useful life of the component; finally, a mitigation strategy trades off between performance and control authority to extend the life of the failing component until the mission is completed. This innovative prognostics-enhanced approach to fault mitigation uses Model Predictive Control techniques running in real time. Core algorithms will be implemented on embedded systems and used in hardware-in-the-loop demonstrations.

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

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