Aircraft dynamic model identification on the basis of flight data recorder registers

Maciej Lasek , Piotr Lichota


We investigate the problem of an aircraft dynamic model parametric identification using dimensional derivatives as an example. Identification is done in offline mode, in the time domain. Flight parameters used for identification are obtained from Flight Data Recorder, that register them during each scheduled flight. We investigate the possibility of application of Maximum Likelihood Estimation that belongs to the Output Error Methods class. The likelihood function is defined for n-dimensional multivariate normal distribution. Unknown covariance matrix is estimated with the use of measured data and output equation. Output equation is calculated with Runge–Kutta fourth order method. In order to find the cost function minimum we consider using Levenberg-Marquardt Algorithm, where derivatives are calculated with central difference formulas and small perturbations theory. Mathematical model of an aircraft is obtained through flight dynamics classical approach. Rigid body model of an aircraft is assumed. Coordinate Systems Transformations are done using Euler’s Rotation Theorem with angle order typical for flight dynamics. Equations of motion are obtained from Newtons Second Law of Motion in body fixed coordinate system Oxyz, that is located at aircraft’s center of gravity. Turbulence is modeled as a bias, and also is an object of identification. We implement this method in Matlab R2009b environment
Author Maciej Lasek (FPAE / IAAM)
Maciej Lasek,,
- The Institute of Aeronautics and Applied Mechanics
, Piotr Lichota (FPAE / IAAM)
Piotr Lichota,,
- The Institute of Aeronautics and Applied Mechanics
Journal seriesChallenges of Modern Technology, ISSN 2082-2863, [2353-4419]
Issue year2013
Keywords in Polishpochodne wymiarowe, oszacowanie, rejestrator lotu, dynamika lotu, oszacowanie maksymalnej wiarygodności, algorytm Levenberga-Marquardta, identyfikacja układu
Keywords in EnglishDimensional derivatives, Estimation; Flight Data Recorder, Flight Dynamics, Maximum Likelihood Estimation; Levenberg-Marquardt Algorithm, System Identification
Languageen angielski
Score (nominal)8
Score sourcejournalList
ScoreMinisterial score = 6.0, 23-06-2020, ArticleFromJournal
Ministerial score (2013-2016) = 8.0, 23-06-2020, ArticleFromJournal
Publication indicators GS Citations = 2.0
Citation count*2 (2020-09-08)
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