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Procedure for estimating stability and control parameters from flight test data by using maximum likelihood methods employing a real-time digital systemA maximum likelihood parameter estimation procedure and program were developed for the extraction of the stability and control derivatives of aircraft from flight test data. Nonlinear six-degree-of-freedom equations describing aircraft dynamics were used to derive sensitivity equations for quasilinearization. The maximum likelihood function with quasilinearization was used to derive the parameter change equations, the covariance matrices for the parameters and measurement noise, and the performance index function. The maximum likelihood estimator was mechanized into an iterative estimation procedure utilizing a real time digital computer and graphic display system. This program was developed for 8 measured state variables and 40 parameters. Test cases were conducted with simulated data for validation of the estimation procedure and program. The program was applied to a V/STOL tilt wing aircraft, a military fighter airplane, and a light single engine airplane. The particular nonlinear equations of motion, derivation of the sensitivity equations, addition of accelerations into the algorithm, operational features of the real time digital system, and test cases are described.
Document ID
19720016975
Acquisition Source
Legacy CDMS
Document Type
Other - NASA Technical Note (TN)
Authors
Grove, R. D.
(NASA Langley Research Center Hampton, VA, United States)
Bowles, R. L.
(NASA Langley Research Center Hampton, VA, United States)
Mayhew, S. C.
(Electronic Associates, Inc.)
Date Acquired
September 2, 2013
Publication Date
May 1, 1972
Subject Category
Mathematics
Report/Patent Number
L-8178
NASA-TN-D-6735
Accession Number
72N24625
Funding Number(s)
PROJECT: RTOP 136-62-01-03
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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