Identification of Aircraft Longitudinal Stability And Control Derivatives using Optimization

[fche...@gmail.com]

Dear all,

Here it is a reference on the application of optimization methods in
identification problems:

F. A. C. Viana, B .C. O. Maciel, N. S. B. Neto, M. F. Oliveira, V.
Steffen Jr, and L. C. S. Goés, "AIRCRAFT LONGITUDINAL STABILITY AND
CONTROL DERIVATIVES IDENTIFICATION BY USING LIFE CYCLE AND LEVENBERG-
MARQUARDT OPTIMIZATION ALGORITHMS," Inverse Problems in Science and
Engineering, Volume 17, Issue 1, pp. 17-34, 2009 (DOI:
10.1080/17415970802082773).

In this work, two optimization algorithms are investigated to
accomplish the parameter identification of the longitudinal motion of
a real aircraft by using the output error method. The first algorithm
is the nature-inspired algorithm named the life cycle model, which is
a composed strategy based on other heuristics such as genetic
algorithms and particle swarm optimization. The second one is the
gradient-based technique named Levenberg-Marquardt algorithm, which is
a variant of the Gauss-Newton method. Flight test data, performed with
a training jet aircraft (Xavante AT-26), were used to feed the output
error method. In this context, both optimization algorithms were
tested, in solo performance and in a cascade-type approach. Results
are reported, aiming to illustrate the success of using the proposed
methodology.

You can find more about it on:
http://fchegury.googlepages.com


All the best,
Felipe Viana