A Proposed Kalman Filter Algorithm for Estimation of Unmeasured Output Variables for an F100 Turbofan Engine

Alag, Gurbux S. and Gilyard, Glenn B. (1990) A Proposed Kalman Filter Algorithm for Estimation of Unmeasured Output Variables for an F100 Turbofan Engine. Technical Report NASA TM-4234, Research Engineering, NASA Dryden Flight Research Center.

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Abstract

To 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 presents 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 in the paper.

EPrint Type:	NASA Technical Memorandum
Keywords:	Aircraft engine performance, Algorithms, Bias estimation, Control systems design, Kalman filter, Off-nominal engine performance, State estimation, State vectors, Turbofan engines, Unmeasurable output estimation
Subjects:	(01 - 09) Aeronautics: (07) Aircraft Propulsion And Power
ID Code:	365
Deposited On:	27 August 2004
Additional Information:	32 pages. Gurbux S. Alag: PRC System Service, Edwards, California. Glenn B. Gilyard: Ames Research Center, Dryden Flight Research Facility, Edwards, California. Prepared as AIAA 90-1920 for presentation at AIAA/SAE/ASME/ASEE Joint Propulsion Conference, Orlando, Florida, July 16–18, 1990.