A multi-sensor parametric identification procedure in the frequency domain for the real-time surveil
System Identification, Volume # 14 | Part# 1
Authors
Pierre Vacher; Alain Bucharles
Identifier
10.3182/20060329-3-AU-2901.00098
Index Terms
identification,algorithms,polynomials,transfer functions,frequency domain
Abstract
Flutter flight tests is a crucial and feared phase of the flight test program of a new aircraft. The specific operational context of flutter surveillance implies the development of automatic and reliable tools operating in real-time. At ONERA, we recently developed a toolbox dedicated to data processing for flutter tests. It was used for the latest Airbus aircraft from the A340-600 up to the A380. In this article, we present the main procedure of the toolbox : the identification routine together with the graphical interfaces that were designed to help the operator to get a rapid knowledge of the identification results.
References
[1] Forsythe, George E. (1957). Generation and use
of orthogonal polynomials for data-fitting
with a digital computer. J. Soc. Indust. Appl.
Math. 5(2), 74-88.
[2] Rolain, Y., R. Pintelon, K. Q. Xu and H. Vold
(1995). Best conditioned parametric identification
of transfer function models in the frequency
domain. IEEE Transactions on Automatic
Control 40(11), 1954-1960.
[3] Sanathanan, C. K. and J. Koerner (1963). Transfer
function synthesis as a ratio of two complex
polynomials. IEEE Transactions on Automatic
Control 9(1), 56-58.
[4] Welch, P. D. (1967). The use of fast Fourier
transform for the estimation of power spectra:
A method based on time averaging over short,
modified periodograms. IEEE Trans. Audio
Electroacoust. AU-15, 70-73.
[5] Whitfield, A. H. (1987). Asymptotic behaviour of
transfer function synthesis methods. International
Journal of Control 45(3), 1083-1092.
