Title :
Estimator design in jet engine applications
Author :
Maggiore, Manfredi ; Ordóñez, Raúl ; Passino, Kevin ; Adibhatla, Shrider
Author_Institution :
Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
fDate :
6/21/1905 12:00:00 AM
Abstract :
Jet engines are nonlinear dynamical systems for which an exact mathematical model cannot be used for estimator design, because it is either not available or so complex that it does not fit the necessary assumptions. Thus, classical analytical tools for studying standard system properties like observability, which is very important in estimator design, cannot be directly applied. Generally, for practical jet engine applications, the designer faces two closely related problems: first, given an unmeasurable parameter, find the minimal set of estimator inputs that facilitates achieving a satisfactory estimation performance (input selection); second, given a predetermined set of inputs, derive an “observability” measure that characterizes the estimation feasibility of a specific unmeasurable parameter. In the paper, techniques for solving these two problems are developed and applied to estimator design for jet engine thrust, stall margins, and an unmeasurable state
Keywords :
aerospace engines; neural nets; nonlinear dynamical systems; observers; estimation performance; estimator design; input selection; jet engines; observability measure; stall margins; thrust margins; Aircraft propulsion; Control design; Fuels; Jet engines; Life estimation; Manufacturing; NASA; State estimation; Steady-state; Temperature measurement;
Conference_Titel :
Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5250-5
DOI :
10.1109/CDC.1999.827974