In-flight performance diagnostic capability of an adaptive engine model
Author:
Affiliation:
1. Pratt & Whitney Group, West Palm Beach, FL
Publisher
American Institute of Aeronautics and Astronautics
Link
http://arc.aiaa.org/doi/pdf/10.2514/6.1992-3746
Reference9 articles.
1. Total Propulsion System", AIAA Paper M-92-3744.
2. Kerr, L.J.,Nemec, T.S., Gallops, G.W., 1991 "Real-TimeEstimationofGasTurbineEngineDamageUsing a Conlrol Based Kalman Filter Algorithm", ASME Paper 91-GT-216.
3. Lambert, H.H., Gilyard, G.B.,Chisholm, J.D., Ken, L.J., 1991"PreliminaryFlightEvaluationof anEngine Performance Optimization Algorithm", AlAA Paper AIAA-91-1998.
4. Luppold,R.H., Roman,J.R., Gallops,G.W., Ken; L.J., 1989"EstimatingIn-Flight EnginePerformanceVariations Using Kalman Filter Concepts", AIAA Paper AlAA-89-2584.
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2. Nonlinear performance seeking control using Fuzzy Model Reference Learning Control and the method of Steepest Descent;33rd Joint Propulsion Conference and Exhibit;1997-07-06
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