Automated Contingency Management for Advanced Propulsion Systems

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$99,757.00
Award Year:
2004
Program:
STTR
Phase:
Phase I
Contract:
NNA04AA22C
Award Id:
72055
Agency Tracking Number:
030046
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
125 Tech Park Drive, Rochester, NY, 14623
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
073955507
Principal Investigator:
MichaelRoemer
Principal Investigator
(585) 424-1990
mike.roemer@impact-tek.com
Business Contact:
MarkRedding
Business Official
(585) 424-1990
mark.redding@impact-tek.com
Research Institute:
Georgia Tech Research Corporation
Hendrickx Toussaint
505 Tenth Street NW
Altanta, GA, 30332
(404) 385-2175
Nonprofit college or university
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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