Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
This article investigates unstable tiltrotor in hover system identification from flight test data. The aircraft dynamics was described by a linear model defined in Body-Fixed-Coordinate System. Output Error Method was selected in order to obtain stability and control derivatives in lateral motion. For estimating model parameters both time and frequency domain formulations were applied. To improve the system identification performed in the time domain, a stabilization matrix was included for evaluating the states. In the end, estimates obtained from various Output Error Method formulations were compared in terms of parameters accuracy and time histories. Evaluations were performed in MATLAB R2009b environment.
Wydawca
Czasopismo
Rocznik
Tom
Strony
23--36
Opis fizyczny
Bibliogr. 21 poz., rys., tab.
Twórcy
autor
- Warsaw University of Technology, Institute of Aeronautics and Applied Mechanics, Poland
autor
- Warsaw University of Technology, Institute of Aeronautics and Applied Mechanics, Poland
Bibliografia
- [1] J. Kaletka. BO-105 identification results. In Rotorcraft System Identification, AGARD LS-178, AGARD LS-178, Paper 9, November 1991.
- [2] R.K. Mehra, R.K. Prasanth, and S. Gopalaswamy. XV-15 tiltrotor flight control system design using model predictive control. In IEEE Aerospace Conference, volume 2, pages 139–148, March 1998. doi: 10.1109/AERO.1998.687905.
- [3] R.E. Maine and J.E. Murray. Application of parameter estimation to highly unstable aircraft. Journal of Guidance, Control, and Dynamics, 11(3):213–219,May 1988. doi: 10.2514/3.20296.
- [4] S. Weiss, H. Friehmelt, E. Plaetschke, and D. Rohlf. X-31A system identification using singlesurface excitation at high angles of attack. Journal of Aircraft, 33(3):485–490, May 1996. doi: 10.2514/3.46970.
- [5] E. Özger. Parameter estimation of highly unstable aircraft assuming linear errors. In AIAA Atmospheric Flight Mechanics Conference, Minneapolis, MN, August 2012. doi: 10.2514/6.2012-4511.
- [6] B. Mettler, T. Kanade, and M. Tischler. System identification modeling of a model-scale helicopter. Technical Report CMU-RI-TR-00-03, Robotics Institute, Pittsburgh, PA, January 2000.
- [7] S.K. Kim and D.M. Tilbury. Mathematical modeling and experimental identification of an unmanned helicopter robot with flybar dynamics. Journal of Robotic Systems, 21(3):95–116, March 2004. doi: 10.1002/rob.20002.
- [8] A. Ji and K. Turkoglu. Development of a low-cost experimental quadcopter testbed using an arduino controller for video surveillance. In AIAA Infotech@Aerospace. AIAA, January 2015. doi: 10.2514/6.2015-0716.
- [9] V. Hrishikeshavan, M. Benedict, and I. Chopra. Identification of flight dynamics of a cylcocopter micro air vehicle in hover. Journal of Aircraft, 52(1):116–129, April 2014. doi: 10.2514/1.C032633.
- [10] K. Rogowski and R. Maronski. CFD computation of the Savonius rotor. Journal of Theoretical and Applied Mechanics, 53(1):37–45, 2015. doi: 10.15632/jtam-pl.53.1.37.
- [11] M.B. Tischler and R.K. Remple. Aircraft and Rotorcraft System Identification. AIAA Education Series. AIAA, Washington, DC, 2 edition, August 2012. doi: 10.2514/4.868207.
- [12] B. Etkin. Dynamics of Atmospheric Flight. Dover Publications, Mineola, NY, 2005.
- [13] L.A. Zadeh. From circuit theory to system theory. Proceeding of the IRE, 50(5):856–865, May 1962. doi: 10.1109/JRPROC.1962.288302.
- [14] T. Söderstörm and P. Stoica. System Identification. Prentice Hall International, New York, 2001.
- [15] G.C. Goodwin and R.L. Payne. Dynamic System Identification: Experiment Design and Data Analysis. Academic Press Inc., New York, 1977.
- [16] R.V. Jategaonkar. Flight Vehicle System Identification: A Time Domain Methodology. Progress in Astronautics and Aeronautics. AIAA, Reston, VA, 2 edition, 2015. doi: 10.2514/4.102790.
- [17] R.E. Maine and K.W. Iliff. Application of parameter estimation to aircraft stability and control: The output-error approach. Technical Report NASA-RP-1168, NASA, Edwards, CA, June 1986.
- [18] V. Klein and E.A. Morelli. Aircraft System Identification: Theory and Practice. AIAA Education Series. AIAA, Reston, VA, August 2006.
- [19] P. Stoica and R. Moses. Introduction to Spectral Analysis. Prentice Hall, Upper Saddle River, NJ, 2 edition, 2005.
- [20] L.R. Rabiner and B. Gold. Theory and Application of Digital Signal Processing. Prentice Hall Inc., Englewood Cliffs, NJ, 1 edition, 1975.
- [21] P. Young and R.J. Patton. Frequency domain identification of remotely-piloted helicopter dynamics using frequency-sweep and schroeder-phased test signals. In AIAA Atmospheric Flight Mechanics Conference, Minneapolis, MN, August 1988. AIAA. doi: 10.2514/6.1988-4349.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b8491fa1-f11d-464e-9949-232d5d7f0d5e