Title

Output Error Method for tiltrotor unstable in hover

Journal title

Archive of Mechanical Engineering

Yearbook

2017

Volume

vol. 64

Issue

No 1

Affiliation

Lichota, Piotr : Warsaw University of Technology, Institute of Aeronautics and Applied Mechanics, Poland ; Szulczyk, Joanna : Warsaw University of Technology, Institute of Aeronautics and Applied Mechanics, Poland

Authors

Lichota, Piotr ; Szulczyk, Joanna

Keywords

flight dynamics ; system identification ; output error method ; maximum likelihood ; unstable systems ; tiltrotors

Divisions of PAS

Nauki Techniczne

Coverage

23-36

Publisher

Polish Academy of Sciences, Committee on Machine Building

Bibliography

[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 I EEE 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 single-surface excitation at high angles of attack. J ournal 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. Maroński. 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. Progess 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.

Date

2017

Type

Artykuły / Articles

Identifier

DOI: 10.1515/meceng-2017-0002 ; ISSN 0004-0738, e-ISSN 2300-1895

Source

Archive of Mechanical Engineering; 2017; vol. 64; No 1; 23-36

References

Hrishikeshavan (2014), Identification of flight dynamics of a cylcocopter micro air vehicle in hover of, Journal Aircraft, 52, 116, doi.org/10.2514/1.C032633 ; Rogowski (2015), CFD computation of the Savonius rotor of and, Journal Theoretical Applied Mechanics, 53, 37, doi.org/10.15632/jtam-pl.53.1.37 ; Maine (1988), Application of parameter estimation to highly unstable aircraft of Control and Dynamics, Journal Guidance, 11, 213, doi.org/10.2514/3.20296 ; Kim (2004), Mathematical modeling and experimental identification of an unmanned helicopter robot with flybar dynamics of, Journal Robotic Systems, 21, 95, doi.org/10.1002/rob.20002 ; Weiss (1996), A system identification using single - surface excitation at high angles of attack of, Journal Aircraft, 33, 485.