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Modeling of a UAV Longitudinal Dynamics through System Identification Technique

Authors: Asadullah I. Qazi, Mansoor Ahsan, Zahir Ashraf, Uzair Ahmad

Abstract:

System identification of an Unmanned Aerial Vehicle (UAV), to acquire its mathematical model, is a significant step in the process of aircraft flight automation. The need for reliable mathematical model is an established requirement for autopilot design, flight simulator development, aircraft performance appraisal, analysis of aircraft modifications, preflight testing of prototype aircraft and investigation of fatigue life and stress distribution etc.  This research is aimed at system identification of a fixed wing UAV by means of specifically designed flight experiment. The purposely designed flight maneuvers were performed on the UAV and aircraft states were recorded during these flights. Acquired data were preprocessed for noise filtering and bias removal followed by parameter estimation of longitudinal dynamics transfer functions using MATLAB system identification toolbox. Black box identification based transfer function models, in response to elevator and throttle inputs, were estimated using least square error   technique. The identification results show a high confidence level and goodness of fit between the estimated model and actual aircraft response.

Keywords: Black box modeling, fixed wing aircraft, least square error, longitudinal dynamics, system identification.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1314805

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References:


[1] Gary C. Hart and James T.P, “System identification in structural dynamics”, Journal of the engineering Mechanics Division, November 1977, Vol 103, pp. 1089-1105.
[2] K. S. Narendra and S. Tripathi, “Identification and optimization of aircraft dynamics”, Journal of Aircraft, vol 10, no 4, pp. 193-199, 1973.
[3] Mettler Brenad,Tischk,Mark B and Karnade, “Small scale unmanned rotorcraft for flight control design”, Journal of the American helicopter society,AHS Int,vol 47,pp 50-63,January 2002.
[4] Shim D.H and Hyoun Jim Kim,”Control system design for rotor craft based unmanned aerial vehicles using time-domain system identification”, Controls applications, IEEE International Conference, 2000,pp 808-813.
[5] Vladislav Klein,” Estimation of Aircraft aerodynamic parameters from flight data”, Progress in Aerospace Sciences, vol 26, Issue 1, pp. 1-77, 1989.
[6] Carnie Jauberthiea, Francois Bourneville, Patricia Coton and Frank Rendell, “Optimal Input designs for aircraft parameter estimation”, Aerospace science and technology, vol 10, issue 4, pp. 331-337, May 2006.
[7] Junghoon Lee, Sugjoon Yoon, “Application of parameter estimation to FTD for a light airplane via flight tests”, Simulation modeling practice and theory, vol 15, issue 6, pp. 690-702, July 2007.
[8] P.L. Green, E.J. Cross, K. Worden, “Bayesian System Identification of dynamical systems using highly informative training data”, Mechanical systems and signal processing, vol 56-57, pp. 109-122, May 2015.
[9] Feng Ding, Yanjiao Wang and Jie ding, “Recursive least square Parameter Identification Algorithms for systems with colored noise using the filtering technique and the auxiliary model”, Digital Signal Processing, vol 37, pp 100-108, Februray 2015.
[10] Peter Van Overschee and Bart D Moor, “Subspace algorithms for the identification of combined deterministic-stochastic systems”, Automatica, volume 30, issue 1, pp. 75-93, January 1993.
[11] Hugues Garniee, “Direct Continuous-time approaches to system identification. Overview and benefits for practical applications”, European Journal of control, April 2015.
[12] Alireza Roudbari and Faribarz Saghafi, “Intelligent modeling and identification of aircraft non-linear Flight”, Chinese Journal of Aeronautics, vol 27, issue 4, pp759-771, August 2014.
[13] Yiqun Dong and Jian Liang Ai,”Research on flight parameter identification and icing location detection of the aircraft”, Aerospace Science and Technology, vol 29, issue 1, pp 305-312, August 2013
[14] B.L Stevens and F.L. Lewis, Aircraft Control and Simulation, 2nd ed., Wiley Interscience, 1992.
[15] Mansoor Ahsan, Hamza Rafique and Waleed Ahmad, “Verification of Equilibrium Point Stability for Linearization of an Aircraft Model”, IEEE International Multi Topic Conference (INMIC),vol 1,pp 1-6, Lahore, Pakistan, 2013.
[16] Mansoor Ahsan, Kamran Shafique, Atif B. Mansoor and Muddassir Mushtaq “Performance Comparison of two altitude control algorithms for a fixed wing UAV”, IEEE 3rd International Conference on Computer, Control and Communication (IEEE-IC4), vol., no., pp.1-5, Sept. 2013 Karachi, Pakistan.
[17] Vladislav Klein and Eugene A. Morelli, Aircraft System Identification: Theory and Practice, 1st ed., AIAA (American Institute of Aeronautics & Astronautics), August 2006.
[18] Mark B. Tischler and Robert K. Remplr, Aircraft and Rotorcraft System Identification, Amer Inst of Aeronautics; 2nd ed., November 30, 2012.