ОЦЕНКА АЭРОДИНАМИЧЕСКИХ КОЭФФИЦИЕНТОВ БЕСПИЛОТНОГО ЛЕТАТЕЛЬНОГО АППАРАТА С МОДИФИЦИРОВАННЫМ КРИТЕРИЕМ НА ОСНОВЕ ДАННЫХ ЛЕТНЫХ ИСПЫТАНИЙ ПРИ НАЛИЧИИ ВЕТРА

Фархади Рахман Мохаммади, Вячеслав Иванович Кортунов, Андрей Александрович Молчанов

Abstract


The aerodynamic coefficients of an unmanned air vehicle are estimated from actual flight data in the presence of wind turbulence with a nonlinear estimator based on the output error method and the nonlinear dynamics of the unmanned air vehicle. Wind turbulence components with the aerodynamic coefficients are estimated by the nonlinear estimator based on the output error method. To achieve the global minimum value of the criterion function, the simulated annealing algorithm is used for optimization.


Keywords


flight system identification; aerodynamic coefficient estimation; identifiability; unmanned air vehicle; output error method; nonlinear equation of the motion

References


Farhadi, R.M. Identification of roll channel dynamics for the unmanned aerial vehicle under weakly excited input signal (in Russian: Identifikaciya

dinamiki kanala krena bespilotnogo letatel'nogo apparata pri slabo informativnom vxodnom signale)./ R.M Farhadi V.I. Kortunov// Radioelectronic and Computer Systems (Radіoelektronnі і komp’yuternі sistemi). - 2017 - №1(1) -p. 99-106.

Von Hoffer, N., System identification of a small low-cost unmanned aerial vehicle using flight data from low-cost sensors. / N. Von Hoffer // Utah State University. - 2015.

Mettler, B., Identification modeling and characteristics of miniature rotorcraft. / B. Mettler // Springer Science & Business Media. - 2013.

Verhaegen, M. Filtering and system identification: a least squares approach. / Verhaegen, M. V. Verdult // Cambridge university press - 2007.

Klein, V. Aircraft system identification: theory and practice./ V. Klein, E.A. Morelli // American Institute of Aeronautics and Astronautics Reston, Va, USA. - 2006.

Raol, J.R., , Modelling and parameter estimation of dynamic systems. / J.R. Raol, G. Girija, J. Singh // Vol. 65. - 2004: Iet.

Farhadi, R.M., Aerodynamic Model Identification Using Flight Test Data with EKF and NN. in Proceedings. / R.M. Farhadi, S.K. Yadavar Nikravesh, A. Mohammadi // of the 4th Iranian Aerospace Society Conference. Tehran, Iran: Iranian Aerospace Society. - 2003.

Morelli, E.A., System identification programs for aircraft (SIDPAC). / E.A. Morelli // - 2002.

Tunik, A.A. Identification of mathematical model of longitudinal motion of the aircraft in the presence of noise measurement and displacement sensors biases (in Russian: Identifikacija matematicheskoj modeli prodol'nogo dvizhenija letatel'nogo apparata pri nalichii shumov izmerenij I smeshhenij datchikov). / A.A. Tunik, A.N. Klipa // Electronic modeling (Jelektronnoe modelirovanie). - 2001 - №6 - p. 3-18.

Ljung, L., System Identification — Theory for the User. / L. Ljung // United States of America, New Jersey: Prentice-Hall. - 1999 - p. 609.

Tischler, M.B., System identification methods for aircraft flight control development and validation. / M.B. Tischler // Advances in Aircraft Flight Control. - 1996 - p. 35-69.

Isermann, R., Practical aspects of process identification./ R. Isermann // Automatica, - 1980. - №16(5) - p. 575-587.

Stepner, D.E. Maximum likelihood identification and optimal input design for identifying aircraft stability and control derivatives. / D.E. Stepner, R.K. Mehra // 1973.

Farhadi, R.M., UAV motion model and estimation of its uncertainties with flight-test data. / R.M. Farhadi, V.I. Kortunov, A. Mohammadi //in 22rd Saint Petersburg International Conference on Integrated Navigation Systems. - 2015.

Kas'yanov, V.A., Flight simulation (in Russian: Modelirovanie poleta). / V.A. Kas'yanov // Moscow. - 2004 - p. 400.

Gryte, K., High Angle of Attack Landing of an Unmanned Aerial Vehicle. / K. Gryte // NTNU. - 2015.

Molchanov, A., Estimation of accuracy in determining the translational velocity of a video camera using data from optical flow. / A. Molchanov, V.I. Kortunov, R. M. Farhadi // Eastern-European Journal of Enterprise- Technologies -Information And Controlling System. - 2017. - Vol. 4, № 9 (88) - p. 9.

Beard, R.W. and, Small unmanned aircraft: Theory and practice. / R.W.Beard, T.W. McLain // Princeton university press. - 2012.

Stengel, R.F., Flight dynamics. / R.F. Stengel // Princeton University Press. - 2015.

Van Laarhoven, P.J. Simulated annealing, in Simulated annealing: Theory and applications. / P.J. Van Laarhoven, E.H. Aarts // Springer. - 1987 - p. 7-15.

Kortunov, V., et al. Review and comparative analysis of mini- and micro-UAV autopilots. in Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD), / V. Kortunov // IEEE International Conference. Kiev, Ukraine: IEEE. - 2015.

Kortunov, V.I., , Integrated mini INS based on MEMS sensors for UAV control. / V.I. Kortunov, I.Y. Dybska, G.A. Proskura // IEEE Aerospace and Electronic Systems Magazine. - 2009. - p. 41-43.


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