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A proposed Kalman filter algorithm for estimation of unmeasured output variables for an F100 turbofan engineTo develop advanced control systems for optimizing aircraft engine performance, unmeasurable output variables must be estimated. The estimation has to be done in an uncertain environment and be adaptable to varying degrees of modeling errors and other variations in engine behavior over its operational life cycle. This paper represented an approach to estimate unmeasured output variables by explicitly modeling the effects of off-nominal engine behavior as biases on the measurable output variables. A state variable model accommodating off-nominal behavior is developed for the engine, and Kalman filter concepts are used to estimate the required variables. Results are presented from nonlinear engine simulation studies as well as the application of the estimation algorithm on actual flight data. The formulation presented has a wide range of application since it is not restricted or tailored to the particular application described.
Document ID
19910009786
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Alag, Gurbux S.
(PRC Systems Services Co. Edwards, CA., United States)
Gilyard, Glenn B.
(NASA Hugh L. Dryden Flight Research Facility Edwards, CA, United States)
Date Acquired
September 6, 2013
Publication Date
October 1, 1990
Subject Category
Aircraft Propulsion And Power
Report/Patent Number
NAS 1.15:4234
H-1639
NASA-TM-4234
Meeting Information
Meeting: AIAA/SAE/ASME/ASEE Joint Propulsion Conference
Location: Orlando, FL
Country: United States
Start Date: July 16, 1990
End Date: July 18, 1990
Accession Number
91N19099
Funding Number(s)
PROJECT: RTOP 533-02-21
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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