Automated Contingency and Life Management for Integrated Propulsion and Power Systems

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-04-M-2451
Agency Tracking Number: F041-189-1830
Amount: $99,962.00
Phase: Phase I
Program: SBIR
Awards Year: 2004
Solicitation Year: 2004
Solicitation Topic Code: AF04-189
Solicitation Number: 2004.1
Small Business Information
125 Tech Park Drive, Rochester, NY, 14623
DUNS: 073955507
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Carl Byington
 Director of R&D
 (814) 861-6273
 carl.byington@impact-tek.com
Business Contact
 Mark Redding
Title: President
Phone: (585) 424-1990
Email: mark.redding@impact-tek.com
Research Institution
N/A
Abstract
Impact Technologies and Honeywell Engines, Systems, and Services propose the development and validation of an Automated Contingency and Life Management (ACLM) system for integrated propulsion and power systems. The ACLM will integrate advanced health monitoring capabilities with engine and power system control, thus enabling utilization of performance and health information for optimal mission planning and execution. Through fusion of accurate performance and health management information with controls logic, the ACLM system will provide automated response analysis to changing environmental conditions and system degradation/failures in real-time. The ACLM will comprise of two functional modules: Prognostic Health Management (PHM) and Intelligent Adaptive Control (IAC). The on-line generic PHM algorithms proposed utilizes a combination of sensor data, signal processing, data/knowledge fusion, physical/empirical models and an integrated reasoner to predict degraded performance or health condition. The PHM algorithms will be adapted for application to engine sensors and actuators, gas path and generator health analysis. The hierarchical IAC module will use PHM information to perform capability assessment of its respective system and perform operation re-planning and optimization, if necessary. The ACLM system will be demonstrated on a propulsion system.

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

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