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Aircraft parameter identification using an estimation-before-modelling technique

Published online by Cambridge University Press:  04 July 2016

J. C. Hoff  and
M. V. Cook
J. C. Hoff
Affiliation:
College of Aeronautics Cranfield University Cranfield Bedford UK
M. V. Cook
Affiliation:
College of Aeronautics Cranfield University Cranfield Bedford UK
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Abstract

This paper describes a comparative evaluation of two data smoothing algorithms for use in a two step estimation-beforemodelling procedure for aircraft parameter identification. A simple fixed lag smoother is compared with the usual, and more complex, modified-Bryson-Frazier smoother in the first, state estimation, step of the aircraft parameter identification procedure. The comparison is illustrated by application to the analysis of the Dutch Roll motion of the Embraer EMB-312 Tucano. Both algorithms were found to give results of comparable accuracy although the fixed lag smoother is computationally more efficient. It was concluded that the fixed lag smoother algorithm is an acceptable alternative to the modified-Bryson-Frazier algorithm in aircraft parameter identification applications.

Type
Research Article
Information
The Aeronautical Journal , Volume 100 , Issue 997 , September 1996 , pp. 259 - 268
Copyright
Copyright © Royal Aeronautical Society 1996 

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