Mathematical Model for Studying the Evolution of Multi-Role Unmanned Aerial Vehicle in Turbulent Atmosphere


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The paper purpose is to present some aspects regarding the control system of unmanned aerial vehicle - UAV, used for local observations, surveillance and monitoring of interest area or as a training target for anti-aircraft systems. The calculus methodology allows a numerical simulation of UAV evolution in bad atmospheric conditions by using a nonlinear model, as well as a linear one for obtaining the guidance command. The UAV model which will be presented has six DOF (degrees of freedom), and an autonomous control system. This theoretical development allows us to build the stability matrix, command matrix and the control matrix and finally to analyze the stability of autonomous UAV flight. A robust guidance system, based on Kalman filter will be evaluated for different fly conditions and the results will be presented. The flight parameters and guidance will be analyzed. The paper is inspired by national project SAMO (Autonomous Aerial Monitoring System for Interest Areas of Great Endurance). Keywords: UAV, Simulation, Control, Guidance, Endurance, Surveillance, Monitoring, Kalman filter



Edited by:

Bale V. Reddy




C. Mihailescu and I. Farcasan, "Mathematical Model for Studying the Evolution of Multi-Role Unmanned Aerial Vehicle in Turbulent Atmosphere", Applied Mechanics and Materials, Vols. 325-326, pp. 984-989, 2013

Online since:

June 2013




[1] Bakhvalov, N. Methodes Numeriques – Analyse, algebre, equations differentielles ordinaires, Moscou, (1976).

[2] Bandu N. P. Performance, Stability, Dynamics and Control of Airplanes Second Edition, AIAA Education Series, ISBN 1-56347-583-9, (2003).

[3] Boiffier, J.L. The Dynamics of Flight – The Equations, John Wiley & Sons , Chichester, New York, Weinheim, Brisbane, Singapore, Toronto , ISBN 0-471-94237-5, (1998).

DOI: 10.1002/abio.370180404

[4] Chelaru T.V., Constantinescu V.N., Chelaru A., Control system of unmanned aerial vehicle used for endurance autonomous monitoring WSEAS TRANSACTIONS on SYSTEMS and CONTROL, ISSN: 1991-8763, pp.767-778, Issue 9, Volume 5, September (2010).

DOI: 10.1063/1.4904578

[5] Chelaru T.V. Constantinescu N. V, Chelaru A., Mathematic model and technical solution for surveillance and autonomous monitoring system based on endurance unmanned aerial vehicle, Proceedings of 11th WSEAS Int. Conf. on Automation & Information (ICAI'10), pp.149-155, ISBN 978-960-474-193-9, ISSN 1790-5117, University of G. Enescu, Iasi, Romania, June 13-15, (2010).

DOI: 10.1063/1.4904578

[6] Chelaru T.V. Cnstantinescu V. N, Popa E., Chelaru A., Unmanned aerial vehicle for surveillance and autonomous monitoring costal area, Proceedings of the the 3rd International Conference on MARITIME and NAVAL SCIENCE and ENGINEERING (MN'10), pp.227-232, ISBN: 978-960-474-222-6, ISSN: 1792-4707, Constanta Maritime University, Constanta, Romania, September 3-5, (2010).

DOI: 10.1063/1.4904578

[7] Etkin, B., Dinamics of Atmospheric Flight, John Wiley & Sons, Inc., New York, (1972).

[8] Nita, M.M., Moraru, Fl., Patraulea, R., Avioane şi rachete, concepte de proiectare, Ed. Militara, Bucuresti, (1985).

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