Delta Wing Flutter Control Using Spatially Optimized Transducers
Source abstract
Abstract
This work focuses on the development of a design methodology for optimized flutter control of an aeroelastic delta wing. The approach rests on two main premises. The first is that the application of linear modeling and control design techniques can be used to control the predominantly nonlinear phenomenon of flutter by preventing its onset. This phenomenon is characterized by limit cycle oscillations (LCOs) of very high magnitude. These high magnitude deflections, along with the distinct harmonics commonly seen in fluttering plates, typically require cumbersome nonlinear modeling schemes for analysis. The second lies in the spatial optimization of actuator and sensor parameters to facilitate control of targeted modes while providing roll-off of higher order modes without the need for phase-inducing filters. In order to facilitate these optimizations, a versatile and computationally efficient technique for the modeling of piezo structures into analytical systems is developed. The method uses one a priori calculation of the coupling characteristics of gridded piezoelectric elements, contiguously covering the entire structure. This allows for the rapid calculation of the coupling characteristics of any patch configuration by summing the effects of the elements contained within the patch boundaries. Some additional advantages of this approach include the lack of error checking necessary with respect to trial patches being located within structural boundaries. Also, patch shape restrictions are not tied to difficulties associated with complicated integration limits, and reversed phasing of patch segments is a trivial matter. Another technique used estimates the effects of patch mass and stiffness contributions on the system. This method is entirely parameter-based and does not require explicit system modeling. It is illustrated how these techniques can dramatically expand the range, versatility, and efficiency of transducer optimization routines. Implementation examples as applied to a delta wing are shown. The experiments employing these optimized transducers show substantially increased flutter control authority over nonoptimized systems, and point to the importance of this spatial coupling as well as the transducer mass and stiffness effects.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Aeroelasticity and Vibration Control · Acoustic Wave Phenomena Research · Model Reduction and Neural Networks
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Boeing-SVS Inc. 4411 The 25 Way NE. Albuquerque, NM 87109, USA
Duke University, Durham, North Carolina 27708, USA
References (21)
Show source-provided references
1. Andersen, B.W. December 1954 . ‘‘Vibration of Triangular Cantilever Plates by the Ritz Method’’ , Journal of Applied Mechanics , 365 – 370 .10.1115/1.4010935 ↗
2. 10.1016/S0022-460X(73)80131-210.1016/S0022-460X(73)80131-2 ↗
3. 10.2514/2.444910.2514/2.4449 ↗
4. Clark, R.L. , Gibbs, G.P. and Saunders, W.R. 1998 . Adaptive Structures, Dynamics and Control , John Wiley and Sons , New York , pp. 163 – 173 .
5. Crawley, E.F. and De Luis, J. October 1987 . ‘‘Use of Piezoelectric Actuators as Elements of Intelligent Structures’’ , AIAA Journal , 23 : 1373 – 1385 .10.2514/3.9792 ↗
6. Faires, J. and Faires, B. 1988 . Calculus , 2nd edn , Random House , New York , p. 64 - 64 .
7. 10.1080/0020717960892169010.1080/00207179608921690 ↗
8. Hagood, N.W. , Chung, W.H. and Von Flotow, A. 1990. ‘‘Modeling of Piezoelectric Actuator Dynamics for Active Structural Control’’ , In: Proceedings of the 31st AIAA/ASME/ASCE/AHS Structures, Structural Dynamics and Materials Conference , pp. 2242 – 2256 , April 2–4 , AIAA-90-1087-CP.10.2514/6.1990-1087 ↗
9. Kemp, J.D. and Clark, R.L. 2002 . ‘‘Optimal Hybrid Active/Passive Vibration Control Design’’ , In: Smart Structures and Materials 2002: Modeling, Signal Processing, and Control, Proc. , p. 4693 - 4693 , SPIE.10.1117/12.475240 ↗
10. Kroo, I. , Eaton, J. and Prinz, F. 1999 . ‘‘UAV Aeroelastic Control Using Redundant Microflaps’’ , In: AFOSR Program Review for Year 1 .
11. Lee, H.T. and Kroo, I.M. April 2002 . ‘‘Flutter Suppression for High Aspect Ratio Flexible Wings Using Microflaps’’ , In: 43rd Annual AIAA SDM Conference Proceedings , Denver, CO .10.2514/6.2002-1717 ↗
12. 10.2514/2.402210.2514/2.4022 ↗
13. 10.2514/3.2179610.2514/3.21796 ↗
14. Lim, K.B. , Lake, R.C. and Heeg, J. 1998 . ‘‘Effective Selection of Piezoceramic Actuators for an Experimental Flexible Wing’’ , AIAA Journal of Guidance, Control and Dynamics , 21 ( 5 ).10.2514/2.4315 ↗
15. Richard, R.E. 2002. Optimized Flutter Control for an Aeroelastic Delta Wing, PhD Thesis, Duke University, Durham, NC.
16. 10.1115/1.138945810.1115/1.1389458 ↗
17. Rule, J.A., Cox, D.E. and Clark, R.L. 2003. ‘‘Aerodynamic Model Reduction through Balanced Realization’’, Accepted for Publication in the AIAA Journal.10.2514/1.9596 ↗
18. 10.2514/2.482810.2514/2.4828 ↗
19. Smith, G.C. May 2000. Design Methodologies for Optimal Spatial Compensation of Adaptive Structures, PhD Thesis, Duke University.
20. Smith, G.C. and Clark, R.L. 1999. ‘‘Adaptive Structure Design through Optimal Spatial Compensation’’ , In: Proceedings of Active-99, Noise Control Foundation , Poughkeepsie, NY, Fort Lauderdale, FL , December 2–4 .
21. Vipperman, J.S. , Clark, R.L. , Conner, M.D. and Dowell, E.H. 1997 . ‘‘Investigation of the Experimental Active Control of a Typical Section Airfoil Using a Trailing Edge Flap’’ , Journal of Aircraft 35 ( 2 ): 224 – 229 .10.2514/2.2312 ↗