Prognostic and Fault Tolerant Reconfiguration Strategies for Aerospace Power Electronic Controllers and Electric Machines

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX09CC03P
Agency Tracking Number: 085114
Amount: $99,498.00
Phase: Phase I
Program: SBIR
Awards Year: 2009
Solicitation Year: 2008
Solicitation Topic Code: A1.11
Solicitation Number: N/A
Small Business Information
Impact Technologies, LLC
200 Canal View Blvd., Rochester, NY, 14623-2893
DUNS: 073955507
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Myra Torres
 Principal Investigator
 (585) 424-1990
 myra.torres@impact-tek.com
Business Contact
 Carol Marquardt
Title: Business Official
Phone: (585) 627-1923
Email: carol.marquardt@impact-tek.com
Research Institution
N/A
Abstract
Impact Technologies proposes to develop a real-time prognostic and fault/failure accommodation system of critical electric power system components including power converters and electro-mechanical drives for the aerospace and aeronautical industry. The innovation of project is focused on the integration of emerging prognostic technologies with fault tolerant methodologies to improve system reliability and mission readiness for NASA's next generation electrical power systems. The proposed concept will utilize incipient fault detection techniques to provide longer predicted horizons prior to failures, and time to trigger the appropriate reconfiguration scheme. Impact Technologies' approach uses fault detection circuits and algorithms to analyze data from several sources including electrical and environmental measurements, model estimates, and usage conditions. Up-to-date assessments of the electrical system health and remaining useful life of critical components will be made possible via an on-board embedded processing system, which continuously updates prognostic models with sensed data and predicts the best fault accommodation strategy to meet mission objectives. The proposed electrical system fault prognosis and accommodation approach will be demonstrated with a Motor/Generator/Drive test bench adapted for use in this program and with data from the modern aerospace power system and electromechanical actuators.

* information listed above is at the time of submission.

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