Wing flutter suppression enhancement using a well-suited active control model

Abstract

State-space theory is employed here to model a new active wing flutter suppression control. In this paper, the design of a flutter suppression control law, for the NASA Benchmark Active Control Technology wing, is proposed through a single input-single output controller and unsteady aerodynamics is modelled using the Theodorsen's theory. Wing dynamic model is obtained by combining the aeroelastic equations of motion with the actuator model presented. Open-loop dynamic behaviour is examined for a single feedback variable that combines pitch and plunge accelerations. Here, a new formulation of control law, based on classical control techniques and featuring two feedback closed-loops, is successfully employed to reach superior stability robustness with respect to other control laws designed with classical flutter suppression schemes having only one feedback closed-loop. The process allows the stability of the aeroelastic system for flight speeds that exceed the open-loop flutter velocity.

Keywords

flutter dynamics aerodynamics active control model

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References

Waszak

M. R.

Robust multivariable flutter suppression for Benchmark Active Control Technology wind-tunnel model. J. Guid. Control Dyn., 2001, 24 (1), 147–153.

Kelkar

A. G.

Joshi

S. M.

Passivity-based robust control with application to benchmark active controls technology wing. J. Guid. Control Dyn., 2000, 23 (5), 938–947.

Barker

J. M.

Balas

G. J.

Comparing linear parameter-varying gain-scheduled control techniques for active flutter suppression. J. Guid. ControlDyn., 2000, 23 (5), 948–955.

Mukhopadhyay

Transonic flutter suppression control law design using classical and optimal techniques with wind tunnel results. In Proceedings of the 40th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials (SDM) Conference, St. Louis, 12–15 April 1999, AIAA paper 99–1396, pp. 1–11.

Waszak

M. R.

Modeling the benchmark active control technology wind-tunnel model for application to flutter suppression. AIAA paper 96–3437, 1996, pp. 1–12.

Waszak

M. R.

Fung

Parameter estimation and analysis of actuators for the BACT wind-tunnel model. AIAA Atmospheric Flight Mechanics Conference, San Diego, CA, 1996, AIAA paper 96–3437.

Mukhopadhyay

Flutter suppression control law design and testing for active flexible wing. J. Aircr., 1995, 32 (1), 45–51.

Theodorsen

General theory of aerodynamic instability and the mechanism of flutter. NACA report 496, 1935, pp. 413–433.

Silverstein

Upshur

Joyner

Experimental verification of the theory of oscillating airfoils. NACA report 673, 1939, pp. 619–623.

10.

Edwards

J. W.

Ashley

Breakwell

Unsteady aerodynamic modeling for arbitrary motions. AIAA J., 1979, 17 (4), 365–374.

11.

Karpel

Moulin

Anguita

Maderuelo

Climent

Flutter analysis of aircraft with external stores using modal coupling. J. Aircr., 2004, 41 (4), 892–902.

12.

Roger

K. L.

Airplane math modelling methods for active control design. AGARD-CP-228, 1977, pp. 4.1–4.11.

13.

Jones

W. B.

Steinhardt

Digital filters and continued fractions. In Lecture notes in mathematics, Vol. 932, 1982, pp. 129–132 (Springer-Verlag, Berlin).

14.

Chen

Kareem

State-space modeling of systems with frequency dependent parameters. In ICOSSAR Proceedings of the 8th International Conference on Structural Safety and Reliability, Newport Beach, 17–22 June 2001, pp. 4–5.

15.

Haley

Soloway

Generalized predictive control for active flutter suppression. J. Guid. Control Dyn., 2001, 24 (1), 154–159.

16.

Schwanz

R. C.

Consistency in aircraft structural and flight control analysis. AGARD-CP-228, 1977, pp. 3–4.

17.

Zames

On the input-output stability of time-varying nonlinear feedback systems. Part I and II. IEEE Trans. Autom. Control, 1966, 228 (38), 465–476.

18.

Doyle

Wall

Stein

Performance and robustness analysis for structured uncertainty. In Proceedings of the 21st IEEE Conference on Decision and Control, Orlando, 8–10 December 1982, pp. 629–636.