Integrated Design and Control of a Flying Wing Using Nonsmooth Optimization Techniques

  • Yann DenieulEmail author
  • Joël Bordeneuve
  • Daniel Alazard
  • Clément Toussaint
  • Gilles Taquin


In this paper we consider the problem of simultaneously stabilizing a civil flying wing aircraft and optimizing the control surfaces physical parameters, such as control surfaces sizes and actuators bandwidth. This flying wing configuration is characterized by unstable longitudinal modes, badly damped lateral modes, and a lack of control efficiency despite large movables. The question is then to determine the energy penalty associated to the control of these unstable modes, and more precisely to optimize the control surfaces architecture in order to minimize the control-associated energy. Our approach uses latest nonsmooth optimization techniques, which allows more possibilities on requirements specifications and controller structure compared to other approaches such as LMI-based optimizations. Results show a consistent behaviour for tuned parameters of the control surfaces.


Linear Matrix Inequality Control Surface Autonomous Underwater Vehicle Integrate Design Manoeuvre Point 
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  1. 1.
    Alazard, D.: Reverse Engineering in Control Design. John Wiley & Sons (2013)Google Scholar
  2. 2.
    Alazard, D., Loquen, T., de Plinval, H., Cumer, C.: Avionics/control co-design for large flexible space structures. In: AIAA Guidance, Navigation, and Control (GNC) Conference, Guidance, Navigation, and Control and Co-located Conferences. American Institute of Aeronautics and Astronautics (2013),
  3. 3.
    Apkarian, P.: Tuning controllers against multiple design requirements. In: 2012 16th International Conference on System Theory, Control and Computing (ICSTCC), pp. 1–6. IEEE (2012)Google Scholar
  4. 4.
    Apkarian, P., Noll, D., Rondepierre, A., et al.: Nonsmooth optimization algorithm for mixed h2/h∞ synthesis. In: Proc. of the 46th IEEE Conference on Decision and Control, pp. 4110–4115 (2007)Google Scholar
  5. 5.
    Bansal, V., Ross, R., Perkins, J., Pistikopoulos, E.: The interactions of design and control: double-effect distillation. Journal of Process Control 10(2-3), 219–227 (2000)CrossRefGoogle Scholar
  6. 6.
    Fathy, H., Reyer, J., Papalambros, P., Ulsov, A.: On the coupling between the plant and controller optimization problems, vol. 3, pp. 1864–1869 (2001)Google Scholar
  7. 7.
    Leitmann, G.: The calculus of variations and optimal control, vol. 24. Springer (1981)Google Scholar
  8. 8.
    Liao, F., Lum, K.Y., Wang, J.L.: An LMI-based optimization approach for integrated plant/output-feedback controller design. In: Proceedings of the 2005 American Control Conference, pp. 4880–4885. IEEE (2005)Google Scholar
  9. 9.
    Liebeck, R.: Design of the blended-wing body subsonic transport. 2005-06. von Karman Institute for Fluid Dynamics (2005)Google Scholar
  10. 10.
    MATLAB: version 2013a. Robust Control Toolbox. The MathWorks Inc., Natick, Massachusetts, USA (2013)Google Scholar
  11. 11.
    Niewhoener, R.J., Kaminer, I.: Linear matrix inequalities in integrated aircraft/controller design. In: Proceedings of the 1995 American Control Conference, vol. 1, pp. 177–181. IEEE (1995)Google Scholar
  12. 12.
    Niewoehner, R., Kaminer, I.: Integrated aircraft-controller design using linear matrix inequalities. Journal of Guidance, Control, and Dynamics 19(2), 445–452 (1996)CrossRefGoogle Scholar
  13. 13.
    Saucez, M.: Handling qualities of the airbus flying wing resolution. PhD thesis, ISAE-Airbus, Toulouse (2013)Google Scholar
  14. 14.
    Saucez, M., Boiffier, J.L.: Optimization of engine failure on a flying wing configuration. AIAA, Minneapolis (2012)CrossRefGoogle Scholar
  15. 15.
    Silvestre, C., Pascoal, A., Kaminer, I., Healey, A.: Plant/controller optimization with applications to integrated surface sizing and feedback controller design for autonomous underwater vehicles (AUVs) (1998)Google Scholar
  16. 16.
    Sridharan, S., Echols, J.A., Rodriguez, A.A., Mondal, K.: Integrated design and control of hypersonic vehicles. In: American Control Conference (ACC), pp. 1371–1376. IEEE (2014)Google Scholar
  17. 17.
    Stein, G.: The practical, physical (and sometimes dangerous) consequences of control must be respected, and the underlying principles must be clearly and well taught. IEEE Control Systems Magazine 272(1708/03) (2003)Google Scholar
  18. 18.
    Taquin, G.: Flight mechanics- master of science supaero (2009)Google Scholar
  19. 19.
    Yang, G.H., Lum, K.Y.: An optimization approach to integrated aircraft-controller design. In: Proceedings of the 2003 American Control Conference, vol. 2, pp. 1649–1654. IEEE (2003)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Yann Denieul
    • 1
    Email author
  • Joël Bordeneuve
    • 1
  • Daniel Alazard
    • 1
  • Clément Toussaint
    • 2
  • Gilles Taquin
    • 3
  1. 1.University of Toulouse-ISAEToulouseFrance
  2. 2.ONERAToulouseFrance
  3. 3.Airbus Operations SASToulouseFrance

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