[en] System identification methods for non-linear aeroelastic systems could find uses in many aeroelastic applications such as validating finite element models and tracking the stability of aircraft during flight flutter testing. The effectiveness of existing non-linear system identification techniques is limited by various factors such as the complexity of the system under investigation and the type of non-linearities present. In this work, a new approach is introduced which can identify multi-degree-of-freedom systems featuring any type of non-linear function, including discontinuous functions. The method is shown to yield accurate identification of three mathematical models of aeroelastic systems containing a wide range of structural non-linearities.
Dimitriadis, Grigorios ; Université de Liège - ULiège > Département d'aérospatiale et mécanique > Intéractions fluide structure et aérodynamique expérimentale
Cooper, Jonathan E; University of Manchester > School of Engineering
Language :
English
Title :
A method for identification of non-linear multi-degree-of-freedom systems
Publication date :
1998
Journal title :
Proceedings of the Institution of Mechanical Engineers. Part G, Journal of Aerospace Engineering
ISSN :
0954-4100
Publisher :
Professional Engineering Publishing, United Kingdom
Billings, S. A. and Tsang, K. M. Spectral analysis for nonlinear systems. Part I: parametric nonlinear spectral analysis. Mech. Systems and Signal Processing, 1989, 3(4), 319-339.
Chen, S. and Billings, S. A. Representations of non-linear Systems: the NARMAX model. Int. J. Control, 1989, 49(3), 1013-1032.
Worden, K. Characterisation of nonlinear systems using time data. In Structural Identification: Dynamic Methods and Diagnostics, ISMES, Bergamo, Italy, October 1992.
Al-Hadid, M. A. and Wright, J. R. Application of the forcestate mapping approach to the identification of non-linear systems. Mech. Systems and Signal Processing, 1990, 4(6), 463-482.
Al-Hadid, M. A. and Wright, J. R. Developments in the force-state mapping technique for non-linear systems and the extension to the location of non-linear elements in a lumpedparameter system. Mech. Systems and Signal Processing, 1989,3(3), 269-290.
Cooper, J. E. and Dimitriadis, G. Prediction of maximum loads due to turbulent gusts using nonlinear system identification. In Proceedings of the CEAS International Forum on Aeroelasticity and Structural Dynamics, Rome, Italy, June 1997, Vol. II, pp. 71-78.
Chen, Q. and Tomlinson, G. R. A new type of time series model for the identification of non-linear dynamical systems. Mech. Systems and Signal Processing, 1994, 8(5), 531-549.
Yang, Z. C. and Zhao, L. C. Analysis of limit cycle flutter of an airfoil in incompressible flow. J. Sound Vibr., 1988, 123(1), 1-13.
Gaukrogcr, D. R., Skingle, C. W. and Heron, K. H. An application of system identification to flutter testing. J. Sound Vibr., 1980,72(2), 141-150.
Nissini, E. and Gilyard, G. B. Method for experimental determination of flutter speed by parameter identification. Report AIAA-89-1324-CP, American Institute of Aeronautics and Astronautics, 1989.
Crawlcy, E. F. and Aubert, A. C. Identification of nonlinear structural elements by force-state mapping. Am. Inst. Aeronaut. Astronaut. J., 1986,24(1), 155-162.
Woolston, D. S., Runyan, H. L. and Byrdsong, T. A. Some effects of system non-linearities in the problem of aircraft flutter. Technical Note TN 3539, NASA, October 1955.
Dimitriadis, G. Implementation and comparison of three methods of modelling the effect of the aerodynamic forces on the aeroelastic behaviour of a simple wing. Master's thesis, University of Manchester, Aerospace Department, October 1995.