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Fuzzy logic approach for estimation of longitudinal aircraft parameters

Published online by Cambridge University Press:  04 July 2016

M. S. Yaacob ,
H. Jamaluddin  and
K. C. Wong
M. S. Yaacob
Affiliation:
Universiti Teknologi Malaysia, Malaysia
H. Jamaluddin
Affiliation:
Universiti Teknologi Malaysia, Malaysia
K. C. Wong
Affiliation:
Department of Aeronautical Engineering, University of Sydney, Australia
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Abstract

The use of rule-based fuzzy logic system for estimating the stability and control derivatives for the longitudinal aircraft motion is proposed. The capabilities of the fuzzy logic system in estimating both the short-period and the phugoid mode of motions are explored. The flight data used in the estimation process were generated using the three nonlinear longitudinal equation of motion for a small remotely piloted vehicle with all the aerodynamic coefficients obtained from the wind-tunnel tests. The preferred method of perturbation of the aircraft elevator for data collection is also highlighted. The stability and control derivatives are estimated as the change in the aerodynamic force or moment due to small variation in one of the motion or control variables about its nominal value when the rest of the variables are held constant at their respective nominal values. The changes in the aerodynamic force and moment are predicted using the fuzzy logic system. The results show that the fuzzy logic system has a good potential as alternative tools for parameter estimation from flight data. The proposed method does not require any guesses of the initial values of the flight parameters.

Type
Research Article
Information
The Aeronautical Journal , Volume 106 , Issue 1065 , November 2002 , pp. 585 - 594
Copyright
Copyright © Royal Aeronautical Society 2002 

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