Application of Silicon Carbide Photodiode Flame Temperature Sensors in an Active Combustion Pattern Factor Control System

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-06-M-2656
Agency Tracking Number: F061-167-0468
Amount: $99,893.00
Phase: Phase I
Program: SBIR
Awards Year: 2006
Solicitation Year: 2006
Solicitation Topic Code: AF06-167
Solicitation Number: 2006.1
Small Business Information
200 Canal View Blvd, Rochester, NY, 14623
DUNS: 073955507
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Michael Roemer
 Director of Engineering
 (585) 424-1990
Business Contact
 Mark Redding
Title: President
Phone: (585) 424-1990
Research Institution
Impact Technologies, in cooperation with General Electric’s Global Research Center, propose an intelligent pattern factor control concept that will utilize an innovative Silicon Carbide photodiode-based UV Flame Temperature Sensor (FTS) in an adaptive/learning controller that can compensate for degradations/errors in the combustion system. The core developments will be based on the integration of the first-time use of the FTS in an engine application, coupled with a learning neural network control algorithm that can accommodate for errors in the combustion monitoring process. This innovative engine control concept consists of the following key elements: 1) Learning Neural Network using Model Inversion Compensation control system - takes into account errors in the combustion balancing and actuation model; 2) Signal health estimation – if the sensors are unreliable or not giving consistent information as a group, then the system takes this into account; and 3) Nozzle health estimation and accommodation – if the combustion hardware is unhealthy (e.g. nozzle coking), the adaptive controller will alter system behavior accordingly. The Phase I concept will be demonstrated within a dSPACE hardware-in-the-loop simulation that can simulate real-time behavior of relevant combustor pattern faults.

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

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