User menu

Accès à distance ? S'identifier sur le proxy UCLouvain

Wake Vortex Detection and Tracking for Aircraft Formation Flight

Primary tabs

download
  • Open access
  • PDF
  • 6.21 M
Caprace, Denis-Gabriel [UCL] Winckelmans, Grégoire [UCL] Chatelain, Philippe [UCL] Eldredge, Jeff [UCLA]

Formation flying is known to improve the aerodynamic efficiency of a follower aircraft flying close to the wake vortices of a leader. In this study, two wake sensing strategies designed to locate these vortices are exposed. The first one is based on dedicated measurements of the follower wing circulation distribution and on the control surfaces deflections. The second one relies on measurements from its flight dynamics (position, velocity) and control surfaces. Both techniques implement an Ensemble Kalman Filter for the propagation in time of the non-linear surrogate model, which involves Prandtl lifting lines for the aerodynamics, and a simplified equation of motion. The resulting estimators are tested under steady and unsteady flight conditions, using reference data obtained from the numerical simulation of the associated wake flows using CFD. As a result, an accurate estimation of thewake parameters is produced by both methods, even in configurations where a symmetry was known to hamper the filter efficiency. Noisy configurations are also considered through the addition of ambient turbulence in the simulations. In that case, the second method proves more sensitive to external perturbations.

Document type Communication à un colloque (Conference Paper) – Présentation orale avec comité de sélection
Access type Accès libre
Publication date 2019
Language Anglais
Conference "AIAA Aviation 2019 Forum", Dallas, Texas
Host document "AIAA Aviation 2019 Forum" (ISBN : 9781624105890)
Publisher American Institute of Aeronautics and Astronautics
Publication status Publié
Affiliation UCL - SST/IMMC/TFL - Thermodynamics and fluid mechanics
Links
  1. Hummel D., AGARD FDP Symposium on ~~The Characterization & Modification of Wakes from Lifting Vehicles in Fluid, 36, 1 (1996)
  2. Beukenberg M., ICAS, Congress, 17 th, Stockholm, Sweden, Proceedings., 1777 (1990)
  3. Vachon M. Jake, Ray Ronald, Walsh Kevin, Ennix Kimberly, F/A-18 Aircraft Performance Benefits Measured During the Autonomous Formation Flight Project, 10.2514/6.2002-4491
  4. Hanson Curtis E., Pahle Joe, Reynolds James R., Andrade Stephanie, Nelson Brown, Experimental Measurements of Fuel Savings During Aircraft Wake Surfing, 10.2514/6.2018-3560
  5. Vechtel Dennis, Fischenberg Dietrich, Schwithal Jana, Flight dynamics simulation of formation flight for energy saving using LES-generated wake flow fields, 10.1007/s13272-018-0318-z
  6. Ning Andrew, Flanzer Tristan C., Kroo Ilan M., Aerodynamic Performance of Extended Formation Flight, 10.2514/1.c031046
  7. Bieniawski Stefan R., Rosenzweig Steven, Blake William B., Summary of Flight Testing and Results for the Formation Flight for Aerodynamic Benefit Program, 10.2514/6.2014-1457
  8. Edstrand Adam M., Davis Timothy B., Schmid Peter J., Taira Kunihiko, Cattafesta Louis N., On the mechanism of trailing vortex wandering, 10.1017/jfm.2016.440
  9. Holzäpfel Frank, Effects of Environmental and Aircraft Parameters on Wake Vortex Behavior, 10.2514/1.c032366
  10. Daniels Taumi, Smith William, Kireev Stanislav, Recent Developments on Airborne Forward Looking Interferometer for the Detection of Wake Vortices, 10.2514/6.2012-2791
  11. Agnès D.-B., 19th Coherent Laser Radar Conference, 146 (2018)
  12. Hallock James N., Holzäpfel Frank, A review of recent wake vortex research for increasing airport capacity, 10.1016/j.paerosci.2018.03.003
  13. Steen Meiko, Hecker Peter, Investigating the Potential Future Usage of Combined Airborne Wake Vortex Prediction Models and Measurement Sensors, 10.2514/6.2018-3022
  14. Hemati Maziar S., Eldredge Jeff D., Speyer Jason L., Wake Sensing for Aircraft Formation Flight, 10.2514/1.61114
  15. DeVries L., Journal of Guidance, Control, and Dynamics, 1 (2015)
  16. van Leeuwen Peter Jan, Comment on “Data Assimilation Using an Ensemble Kalman Filter Technique”, 10.1175/1520-0493(1999)127<1374:codaua>2.0.co;2
  17. Evensen Geir, Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics, 10.1029/94jc00572
  18. da Silva Andre F., Colonius Tim, A Bias-aware EnKF Estimator for Aerodynamic Flows, 10.2514/6.2018-3225
  19. Darakananda Darwin, Eldredge Jeff, da Silva Andre, Colonius Tim, Williams David R., EnKF-based Dynamic Estimation of Separated Flows with a Low-Order Vortex Model, 10.2514/6.2018-0811
  20. Whitaker Jeffrey S., Hamill Thomas M., Evaluating Methods to Account for System Errors in Ensemble Data Assimilation, 10.1175/mwr-d-11-00276.1
  21. Evensen Geir, Data Assimilation, ISBN:9783642037108, 10.1007/978-3-642-03711-5
  22. Julier S.J., Uhlmann J.K., Unscented Filtering and Nonlinear Estimation, 10.1109/jproc.2003.823141
  23. Backaert S., Symposium on Particle Methods in Fluid Dynamics, Procedia IUTAM, 18, 1 (2012)
  24. Chatelain Philippe, Curioni Alessandro, Bergdorf Michael, Rossinelli Diego, Andreoni Wanda, Koumoutsakos Petros, Billion vortex particle direct numerical simulations of aircraft wakes, 10.1016/j.cma.2007.11.016
  25. Chatelain Philippe, Duponcheel Matthieu, Caprace Denis-Gabriel, Marichal Yves, Winckelmans Grégoire, Vortex particle-mesh simulations of vertical axis wind turbine flows: from the airfoil performance to the very far wake, 10.5194/wes-2-317-2017
  26. Chatelain P, Duponcheel M, Zeoli S, Buffin S, Caprace D-G, Winckelmans G, Bricteux L, Investigation of the effect of inflow turbulence on vertical axis wind turbine wakes, 10.1088/1742-6596/854/1/012011
  27. Caprace D.-G., 43rd European Rotorcraft Forum, 570 (2017)
  28. Jeanmart H., Winckelmans G., Investigation of eddy-viscosity models modified using discrete filters: A simplified “regularized variational multiscale model” and an “enhanced field model”, 10.1063/1.2728935
  29. Mann Jakob, Wind field simulation, 10.1016/s0266-8920(97)00036-2
  30. McCormick B. W., aeronautics, and flight mechanics (1995)
  31. Drela M., AIAA Paper, 99, 1394 (1999)
  32. McRuer D. T., Aircraft dynamics and automatic control, 740 (2014)
Bibliographic reference Caprace, Denis-Gabriel ; Winckelmans, Grégoire ; Chatelain, Philippe ; Eldredge, Jeff. Wake Vortex Detection and Tracking for Aircraft Formation Flight.AIAA Aviation 2019 Forum (Dallas, Texas). In: AIAA Aviation 2019 Forum, American Institute of Aeronautics and Astronautics2019
Permanent URL http://hdl.handle.net/2078.1/216666