Advertisement

Adaptive Control of Post-Stall Separated Flow Application to Heavy Vehicles

  • L. Cattafesta
  • Y. Tian
  • R. Mittal
Chapter
Part of the Lecture Notes in Applied and Computational Mechanics book series (LNACM, volume 41)

Abstract

This paper discusses two adaptive feedback control approaches designed to reattach a massively separated flow over a NACA airfoil with minimal control effort using piezoelectric synthetic jet actuators and various sensors for feedback. One approach uses an adaptive feedback disturbance rejection algorithm in conjunction with a system identification algorithm to develop a reduced-order dynamical systems model between the actuator voltage and unsteady surface pressure signals. The objective of this feedback control scheme is to suppress the pressure fluctuations on the upper surface of the airfoil model, which results in reduced flow separation, increased lift, and reduced drag. A second approach leverages various flow instabilities in a nonlinear fashion to maximize the lift-to-drag ratio using a constrained optimization scheme – in this case using a static lift/drag balance for feedback. The potential application of these adaptive flow control techniques to heavy vehicles is discussed.

Keywords

Adaptive Control Disturbance Rejection Heavy Vehicle Actuator Voltage Unsteady Pressure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Akers J and Bernstein D, “Time-Domain Identification Using ARMARKOV/Toeplitz Models”, Proceedings of the American Control Conference, pp. 191-195, June 1997.Google Scholar
  2. Amitay M, Smith D, Kibens V, Rarekh D and Glezer A, “Aerodynamic Flow Control over an Unconventional Airfoil Using Synthetic Jet Actuators,” AIAA Journal, Vol. 39, No. 3, pp. 361-370, March 2001.Google Scholar
  3. Artiyur K and Krstic M, Real-Time Optimization by Extremum-Seeking Control, Wiley-Interscience, 2003.Google Scholar
  4. Banaszuk A, Narayanan S and Zhang Y, “Adaptive Control of Flow Separation in a Planar Diffuser,” AIAA paper 2003-0617, January 2003.Google Scholar
  5. Englar R, “Pneumatic Heavy Vehicle Aerodynamic Drag Reduction, Safety Enhancement and Performance Improvement,” Proceedings of the UEF Conference on The Aerodynamics of Heavy Vehicles:Trucks, Buses and Trains, Lecture Notes in Applied and Computational Mechanics Springer-Verlag, Heidelberg, September, 2004.Google Scholar
  6. Gallas Q, “On the Modeling and Design of Zero-Net Mass Flux Actuators,” Ph.D. Thesis, Department of Mechanical and Aerospace Engineering, University of Florida, May 2005.Google Scholar
  7. Gallas Q, Holman R, Nishida T, Carroll B, Sheplak M, and Cattafesta L, “Lumped Element Modeling of Piezoelectric-Driven Synthetic Jet Actuators,” AIAA Journal, Vol. 41, No. 2, pp. 240-247, 2003.CrossRefGoogle Scholar
  8. Glezer A and Amitay M, “Synthetic Jets,” Annual Review of Fluid Mechanics, Volume 34, pp. 503-529, January 2002.Google Scholar
  9. Greenblatt D and Wygnanski I, “The control of flow separation by periodic excitation,” Progress in Aerospace Sciences, Vol. 36, pp. 487-545, 2000.CrossRefGoogle Scholar
  10. Holman R, Quentin G, Carroll B and Cattafesta L, “Interaction of Adjacent Synthetic Jets in an Airfoil Separation Control Application”, AIAA Paper 2003-3709, June 2003.Google Scholar
  11. Hsu T-Y, Hammache M & Browand F, “Base Flaps and Oscillatory Perturbations to Decrease Base Drag,” Proceedings of the UEF Conference on The Aerodynamics of Heavy Vehicles:Trucks, Buses and Trains, Lecture Notes in Applied and Computational Mechanics Springer-Verlag, Heidelberg, September, 2004.Google Scholar
  12. Kumar V and Alvi F, “Efficient Control of Separation Using Microjets,” AIAA Paper 2005-4879, June 2005.Google Scholar
  13. Press W, Flannery B, Teukolsky S and Vetterling W, Numerical Recipes in Fortran, 2nd edition, Cambridge University Press, January 1992.Google Scholar
  14. Seifert A, Pack L, “Oscillatory Control of Separation at High Reynolds Numbers,” AIAA Journal, Vol. 37, No. 9, pp. 1062-1071, September 1999.Google Scholar
  15. Tian Y, “Adaptive Control of Separated Flow,” Ph.D. Thesis, Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL, August 2007.Google Scholar
  16. Tian Y, Cattafesta L, and Mittal R "Adaptive Control of Separated Flow,” AIAA Paper 2006-1401, January 2006a.Google Scholar
  17. Tian Y, Song Q and Cattafesta L, “Adaptive Feedback Control of Flow Separation,” AIAA Paper 2006-3016, June 2006b.Google Scholar
  18. Venugopal R and Bernstein D , “Adaptive Disturbance Rejection Using ARMARKOV/Toeplitz Models,” IEEE Transactions on Control Systems Technology, Vol. 8, No. 2, pp. 257-269, March 2000.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • L. Cattafesta
    • 1
  • Y. Tian
    • 1
  • R. Mittal
    • 2
  1. 1.Department of Mechanical and Aerospace EngineeringInterdisciplinary Microsystems GroupGainesvilleUSA
  2. 2.Department of Mechanical and Aerospace EngineeringThe George Washington UniversityWashington

Personalised recommendations