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Использование методики обработки данных на основе вейвлет-анализа…
Инженерный журнал: наука и инновации
# 9·2016 13
Using techniques of statistical modeling data processing
based on wavelet analysis to adjust UAV stabilization
algorithms parameters
© G.G. Plavnik, A.N. Loshkarev, O.L. Tochilova
JSC MIC NPO Mashinostroyenia, Reutov, 143966, Russia
The article describes the use of statistical modeling data processing techniques of un-
manned aerial vehicle (UAV) motion based on the wavelet analysis to adjust the stabili-
zation algorithms parameters due to the time-frequency analysis derived from the statis-
tical modeling of transients. The initial values of the required parameters are obtained in
accordance with the previously developed method of investigating the UAV motion stabil-
ity based on constructing the stability regions, taking the tolerances into consideration.
We examine the interrelation of the stabilization factors state in the stability regions and
the characteristics of the respective transients in the case of linear and nonlinear models
of UAV motion. We point out the advantages of using statistical modeling, followed by
the wavelet analysis in relation to the deterministic approach for assessing the accepta-
bility of the selected parameters of stabilization algorithms. We demonstrate the results
of using the techniques for adjusting the stabilization algorithm parameters based on the
of UAV rudder deflection angle analysis.
Keywords
:
statistical modeling, data processing, motion modeling, UAV, transient, time-
frequency analysis, wavelet analysis,
Daubechies
wavelets, stability region, stabilization
algorithm.
REFERENCES
[1]
Plavnik G.G., Loshkarev A.N., Tochilova O.L. Metodika issledovaniya
ustoichivosti dvizheniya bespilotnykh letatelnykh apparatov [Methods of
studying the motion stability of unmanned aerial vehicles].
Trudy sektsii 22
imeni akademika V.N. Chelomeya XXXVIII Akademicheskikh chteniy po
kosmonavtike
[Proceedings of the 22 section named after Academician V.N.
Chelomey at the XXXVIII Academic Conference on Astronautics]. Reutov, JSC
MIC NPO Mashinostroyenia, 2014, iss. 2, pp. 57–64.
[2]
Besekerskiy V.A., Popov E.P.
Teoriya sistem avtomaticheskogo regulirovaniya
[The theory of automatic control systems]. 4th ed. Saint Petersburg, Professiya
Publ., 2003, 752 p.
[3]
Kostrikin V.N., Studnev S.R., Suprunenko S.N.
Tekhnika vozdushnogo flota
—
Air Force Technology
, 1994, vol. LXVIII, no. 4–6, pp. 19–27.
[4]
Tochilova O.L. Metodika obrabotki dannykh statisticheskogo modelirovaniya na
osnove veivlet-analiza [Methods of statistical modeling data processing based
on wavelet analysis].
Trudy sektsii 22 imeni akademika V.N. Chelomeya
XXXVIII Akademicheskikh chteniy po kosmonavtike
[Proceedings of the 22
section named after Academician V.N. Chelomey at the XXXVIII Academic
Conference on Astronautics]. Reutov, JSC MIC NPO Mashinostroyenia, 2015,
iss. 3, pp. 202–217.
[5]
Astafyeva N.M.
UFN — Physics-Uspekhi
(Advances in Physical Sciences),
1996, vol. 166, no. 11, pp. 1145–1170.
[6]
Yakovlev A.N.
Vvedenie v veivlet-preobrazovaniya
[Introduction to wavelet
transformations]. Novosibirsk, NSTU Publ., 2003, 104 p.