Application of Silicon Carbide Photodiode Flame Temperature Sensors in an Active Combustion Pattern Factor Control System
Agency / Branch:
DOD / USAF
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.
Small Business Information at Submission:
IMPACT TECHNOLOGIES, LLC
200 Canal View Blvd Rochester, NY 14623
Number of Employees: