Intelligent Engine Control and Health Monitoring

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: N/A
Agency Tracking Number: 33031
Amount: $98,986.00
Phase: Phase I
Program: SBIR
Awards Year: 1996
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
American Gnc Corp
9131 Mason Avenue, Chatsworth, CA, 91311
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Ching-fang Lin
 (818) 407-0092
Business Contact
Phone: () -
Research Institution
N/A
Abstract
In this effort, intelligent strategies will be developed for turbine engine failure detection, health monitoring, and control. This effort will accomodate an integrated intelligent control approach for the design of a high performance control system for propulsion systems based on advanced sensor processing, fuzzy adaptive control and neural fuzzy control integration. The ultimate goal is to ensure stability, flying quality and safety, cost reduction, graceful degradation and reoptimization in the case of failures, malfunctions and damage. In addition, an expert system will be developed for supporting the pilot's decision-making tasks. A hardware and software simulation environment will be fully developed to carry out digital and hardware-in-the-loop real-time simulation of propulsion systems. This environment will provide a powerful tool to test and validate the new technologies in expert systems, modern control, fuzzy logic, decision-making, and neural networks in their applications to general propulsion control and at the meantime, significantly reduce the cost of the development. Anticipated Benefits: The technique of intelligent health monitoring for turbine engines directly benefits the military/civilian aviation and space areas. Such a system will lead to improved performance, enhanced safety, and increased reliability, availability, and durability. The developed hardware-in-the-loop real-time simulation system can be applied to industrial manufacturing and processing significantly reduce the cost of the development.

* information listed above is at the time of submission.

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