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An Optimal Orthogonal Decomposition Method for Kalman Filter-Based Turbofan Engine Thrust EstimationA new linear point design technique is presented for the determination of tuning parameters that enable the optimal estimation of unmeasured engine outputs, such as thrust. The engine s performance is affected by its level of degradation, generally described in terms of unmeasurable health parameters related to each major engine component. Accurate thrust reconstruction depends on knowledge of these health parameters, but there are usually too few sensors to be able to estimate their values. In this new technique, a set of tuning parameters is determined that accounts for degradation by representing the overall effect of the larger set of health parameters as closely as possible in a least-squares sense. The technique takes advantage of the properties of the singular value decomposition of a matrix to generate a tuning parameter vector of low enough dimension that it can be estimated by a Kalman filter. A concise design procedure to generate a tuning vector that specifically takes into account the variables of interest is presented. An example demonstrates the tuning parameters ability to facilitate matching of both measured and unmeasured engine outputs, as well as state variables. Additional properties of the formulation are shown to lend themselves well to diagnostics.
Document ID
20080047455
Acquisition Source
Glenn Research Center
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Litt, Jonathan S.
(Army Research Lab. Cleveland, OH, United States)
Date Acquired
August 24, 2013
Publication Date
December 26, 2007
Publication Information
Publication: Journal of Engineering for Gas Turbine and Power
Volume: 130
Issue: 1
Subject Category
Aircraft Propulsion And Power
Report/Patent Number
Paper No. GT2005-68808
Meeting Information
Meeting: ASNE Turbo Expo 2005: Land, Sea and Air (GT2005)
Location: Reno, NV
Country: United States
Start Date: June 6, 2005
End Date: June 9, 2005
Sponsors: American Society of Mechanical Engineers
Funding Number(s)
WBS: WBS 457280.02.07.03.04.03
Distribution Limits
Public
Copyright
Other

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