Implementation of bio-inspired optimization algorithms in the System Identification of a FAR 23 aircraft

Daniel Agudelo, Piotr Lichota


Aircraft aerodynamic forces and moments can be expressed as a function of the dynamic pressure, aircraft dimensions and flight conditions. They are very important do predict the aircraft behavior and performance. Moreover, they play an important role predicting the model response to control inputs. For these reasons it is important to accurate determine the aerodynamic characteristics in terms of stability and control derivatives. This study presents a methodology to precisely estimate stability and control derivatives through system identification procedure. Navion FAR 23 airplane model was used for this purpose. A bio-inspired optimization method was used to create optimal input control signals to excite the model and obtain an output signal with good frequency content that allowed to properly identify the system. Inclusion of bio-inspired methods increased the accuracy of the estimates. The method can be used to identify fixed wing platforms of similar characteristics. Results can be used to develop flight simulators to collect system information regarding certification evidences and to train pilots.

Full Text:



V. Klein and E. Morelli, "Aircraft System Identification. Theory and Practice," AIAA Education Series, Blacksburg Virdinia, 2006.

E. Morelli, "Multiple input design for real-time parameter estimation in frequency domain," 13th IFAC Conference on System Identification, Rotterdam, The Netherlands, 2003.

P. G. Hamel and R. V. Jategoankar, "Evolution of flight vehicle system identification,» Journal of Aircraft," vol. 22, no. 1, 1996.

R. V. Jategaonkar, "Application of advanced parameter identification methods for flight flutter data analysis with comparison to current techniques," AGARD, vol. Paper 5, pp. CP-373, 1984.

H. Greenberg, "A Survey of Methods for Determining Stability Parameters of an Airplane from Dynamic Flight Measurements," NASA TN 2340, 1951.

M. Schroeder, "Synthesis of Low-Peak-Factor Signals and Binary Sequences with Low Autocorrelation," IEEE Transactions on Information Theory, 1970.

P. Lichota, P. Ohme and K. Sibilski, "Simultaneous Multi-step Excitations for Aircraft System Identification," in AIAA Atmospheric Flight Mechanics Conference, AIAA AVIATION Forum, Washington D.C., 2016.

P. Lichota and P. Ohme, "Design and analysis of the new multi axis input maneuvers for aircraft Sys-ID," DLR IB 111-2014/46, Braunschweig, Germany, 2014, 2014.

P. Lichota, K. Sibilski and P. Ohme, "D-Optimal Simultaneous Multistep Excitations for Aircraft Parameter Estimation," Journal of Aircraft, vol. 2, no. 54, pp. 747-758, 2017.

P. Lichota and D. Agudelo, "A Priori Model Inclusion in the Multisine Maneuver Design," International Carpathian Control Conference (ICCC), vol. 1, no. 17, pp. 440-445, 2016.

D. Agudelo and P. Lichota, "Optimal power spectrum in the multisine experiment design," in Desarrollo e innovación en ingeniería, Medellín, Colombia, Editorial Instituto Antioqueño de Investigación, 2016, p. 557.

P. Lichota, J. Szulczyk, D. Agudelo and F. Vallejo, "Power spectrum optimization in the design of multisine manoeuvre for identification purposes," Journal of Theoretical and Applied Mechanics, vol. 55, no. 4, pp. 1193-1203, 2017.

E. Morelli, "System Identification Programs for Aircraft (SIDPAC)," AIAA Atmospheric Flight Mechanics Conference, Monterrey, CA, 2002.

E. Morelli, "Flight test maneuvers for efficient aerodynamic modeling," Journal of aircraft, Vol. 49, No. 6, 2012.

E. Morelli and M. Smith, "Real-time dynamic modeling: data information requirements and flight-test results," Journal of aircraft, Voo. 46, No. 6, 2009.

P. Lichota, "Inclusion of the D-optimality in multisine manoeuvre design for aircraft parameter estimation," Journal of Theoretical and Applied Mechanics, vol. 1, no. 54, pp. 87-98, 2016.

E. Morelli, "Efficient Global Aerodynamic Modeling from Flight Data," American Institute of Aeronautics and Astronautics, Hampton, Virginia, 2012.

R. Koehler and K. Wilhelm, "Auslegung von Eingangssignalen für die Kennwertermittlung (in German)," Institut für Flugmechanik, Braunschweig, 1977.

G. Teper, "Aicraft Stability and Control Data," National Aeronautics and Space Administration, Hawthorne, California, 1969.

S. Carnduff, "System identification of Unamanned Aerial Vehicle," Cranfield University, Cranfield, UK, 2008.

M. R. Napolitano, A. C. Paris, B. A. Seanor and A. H. Bowers, "Parameter estimation for a Cessna U-206 aircraft using the Maximum Likelihood Method," in AIAA Atmospheric Flight Mechanics Conference and Exhibit, Scottdale, Arizona, 1994.

E. Morelli and V. Klein, "Application of System Identification to Aircraft at NASA Langley Research Center," Journal of Aircraft, vol. 42, no. 1, pp. 12-25, 2005.

E. Kim, Y. Kim and K. Seong, "A Study on the Parameter Estimation for General Aviation Canard Aircraft," in AIAA Atmospheric Flight Mechanics Conference and Exhibit, Austin, TX, 2003.



  • There are currently no refbacks.

Copyright (c) 2020 TECCIENCIA