Automated Contingency Management for Advanced Propulsion Systems

Award Information
Agency:
National Aeronautics and Space Administration
Amount:
$99,757.00
Program:
STTR
Contract:
NNA04AA22C
Solitcitation Year:
2003
Solicitation Number:
N/A
Branch:
N/A
Award Year:
2004
Phase:
Phase I
Agency Tracking Number:
030046
Solicitation Topic Code:
T1.01
Small Business Information
IMPACT TECHNOLOGIES, LLC
125 Tech Park Drive, Rochester, NY, 14623-2438
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
073955507
Principal Investigator
 Michael Roemer
 Principal Investigator
 (585) 424-1990
 mike.roemer@impact-tek.com
Business Contact
 Mark Redding
Title: Business Official
Phone: (585) 424-1990
Email: mark.redding@impact-tek.com
Research Institution
 Georgia Tech Research Corporation
 Not Available
 505 Tenth Street NW
Altanta, GA, 30332
 (404) 385-2175
 Domestic nonprofit research organization
Abstract
Impact Technologies LLC, in cooperation the Georgia Institute of Technology, proposes to develop and demonstrate an innovative Automated Contingency Management (ACM) concept for advanced propulsion systems that will provide a superior level of engine fault accommodation and optimized performance based on a seamless integration between the engine health management (EHM) system and the engine controller. Utilizing a sophisticated engine simulation model with full transient capability and integrated control, a software-in-the-loop demonstration will be delivered that will be capable of realistically simulating various control sensor failures, actuator faults, and engine degradation scenarios with associated results obtained comparing the benefits of the ACM technologies implemented. The proposed ACM software hierarchy will act from the engine subsystems level up through the air vehicle level and will implement advanced fault-accommodating control, health management, and intelligent software agents to accomplish its goal. The core innovations of this project include: 1.) The development of advanced fault detection algorithms for sensor, actuator and component faults in different flight regimes; 2.) The development of intelligent software agents for achieving optimal dynamic performance under faulty propulsion dynamics; and 3.) The development of reconfigurable control algorithms linked to the EHM system for guaranteeing the stability of the fault-accommodating control system.

* information listed above is at the time of submission.

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