State-space identification of nonlinear flight dynamics

Author

Lyshevski, Sergey Edward

Author_Institution

Dept. of Electr. Eng., Purdue Univ., Indianapolis, IN, USA

fYear

1997

fDate

5-7 Oct. 1997

Firstpage

496

Lastpage

498

Abstract

A new identification concept is offered in this paper, and it is shown how to identify the unknown parameters of nonlinear flight dynamic systems assuming that a generic nonlinear model is known. To ensure robustness and parameter convergence, nonlinear error mappings are used, and the Lyapunov second method is employed to approach the analysis of convergence. The explored method is applied to a longitudinal aerodynamic model of a high-angle-of-attack (high-alpha) fighter aircraft. In particular, the parameters of an unsteady flight model are identified.

Keywords

Lyapunov methods; aerodynamics; aircraft control; convergence; errors; military aircraft; nonlinear dynamical systems; parameter estimation; robust control; state-space methods; Lyapunov 2nd method; generic nonlinear model; high angle-of-attack flight; high-alpha fighter aircraft; longitudinal aerodynamic model; nonlinear error mappings; nonlinear flight dynamic systems; parameter convergence; robustness; state-space identification; unknown parameter identification; unsteady flight model; Aerodynamics; Airplanes; Control system analysis; Control systems; Convergence; Electronic mail; Linear systems; Nonlinear control systems; Robustness; System analysis and design;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications, 1997., Proceedings of the 1997 IEEE International Conference on

Conference_Location

Hartford, CT, USA

Print_ISBN

0-7803-3876-6

Type

conf

DOI

10.1109/CCA.1997.627703

Filename

627703