Active Control for Combustor Performance Optimization

Current research initiataives, including DoD IHPTET and HyTech, DOE ATS, and commercial development, are agressively pursuing significant improvements in combustor performance Optimization typically results in operating regimes for which combustionstability is difficult to maintain. This proposed program continues the novel combustion control and optimization concepts with flexible dual-use applicability. Active control using a combination of Fuzzy Logic and Neural Network optimizes performanceand ensures efficiency, accuracy, and robustness. For applications where stability is a prime concern, such as gas turbines for power production, this control technique allows operation in a high-performance mode with