Dynamic Surface Control of Hypersonic Aircraft with Parameter Estimation

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 213)


This paper investigates the adaptive controller for the longitudinal dynamics of a generic hypersonic aircraft. The control-oriented model is adopted for design. The subsystem is transformed into the linearly parameterized form. Based on the parameter projection estimation, the dynamic inverse control is proposed via back-stepping. The dynamic surface method is employed to provide the derivative information of the virtual control. The proposed methodology addresses the issue of controller design with respect to parametric model uncertainty. Simulation results show that the proposed approach achieves good tracking performance in the presence of uncertain parameters.


Hypersonic flight control Dynamic surface control Linearly parameterized form 



This work was supported by the DSO National Laboratories of Singapore through a Strategic Project Grant (Project No: DSOCL10004), National Science Foundation of China (Grant No:61134004), NWPU Basic Research Funding (Grant No: JC20120236), and Deutsche Forschungsgemeinschaft (DFG) Grant No. WU 744/1-1.


  1. 1.
    Schmidt D (1992) Dynamics and control of hypersonic aeropropulsive/aeroelastic vehicles. AIAA Paper, pp 1992–4326Google Scholar
  2. 2.
    Schmidt D (1997) Optimum mission performance and multivariable flight guidance for airbreathing launch vehicles. J Guidance Control Dyn 20(6):1157–1164.Google Scholar
  3. 3.
    Gibson T, Crespo L, Annaswamy A (2009) Adaptive control of hypersonic vehicles in the presence of modeling uncertainties. American Control Conference, Missouri, USA, June, pp 3178–3183Google Scholar
  4. 4.
    Xu H, Mirmirani M, Ioannou P (2004) Adaptive sliding mode control design for a hypersonic flight vehicle. J Guidance Control Dyn 27(5):829–838CrossRefGoogle Scholar
  5. 5.
    Shaughnessy J, Pinckney S, McMinn J, Cruz C, Kelley M (1990) Hypersonic vehicle simulation model: Winged-Cone configuration. NASA TM 102610, Nov 1990Google Scholar
  6. 6.
    Wang Q, Stengel R (2000) Robust nonlinear control of a hypersonic aircraft. J Guidance Control Dyn 23(4):577–585Google Scholar
  7. 7.
    Gao DX, Sun ZQ (2011) Fuzzy tracking control design for hypersonic vehicles via TS model. Sci China Inf Sci 54(3):521–528MathSciNetCrossRefMATHGoogle Scholar
  8. 8.
    Kokotovic P (1991) The joy of feedback: nonlinear and adaptive: 1991 bode prize lecture. IEEE Control Syst Mag 12:7–17CrossRefGoogle Scholar
  9. 9.
    Xu B, Sun F, Yang C, Gao D, Ren J (2011) Adaptive discrete-time controller design with neural network for hypersonic flight vehicle via back-stepping. Int J Control 84(9):1543–1552MathSciNetCrossRefMATHGoogle Scholar
  10. 10.
    Xu B, Sun F, Liu H, Ren J (2012) Adaptive Kriging controller design for hypersonic flight vehicle via back-stepping. IET Control Theory Appl 6(4):487–497MathSciNetCrossRefGoogle Scholar
  11. 11.
    Xu B, Wang D, Sun F, Shi Z (2012) Direct neural discrete control of hypersonic flight vehicle. Nonlinear Dyn 70(1):269–278MathSciNetCrossRefMATHGoogle Scholar
  12. 12.
    Fiorentini L, Serrani A, Bolender M, Doman D (2008) Robust nonlinear sequential loop closure control design for an air-breathing hypersonic vehicle model. American Control Conference, Seattle, USA, pp 3458–3463Google Scholar
  13. 13.
    Williams T, Bolender M, Doman D, Morataya O (2006) An aerothermal flexible mode analysis of a hypersonic vehicle. In: AIAA Atmospheric Flight Mechanics Conference and Exhibit, Keystone, AIAA Paper, pp 2006–6647.Google Scholar
  14. 14.
    Wang D, Huang J (2005) Neural network-based adaptive dynamic surface control for a class of uncertain nonlinear systems in strict-feedback form. IEEE Trans Neural Networks 16(1):195–202CrossRefGoogle Scholar
  15. 15.
    Parker J, Serrani A, Yurkovich S, Bolender M, Doman D (2007) Control-oriented modeling of an air-breathing hypersonic vehicle. J Guidance Control Dyn 30(3):856–869CrossRefGoogle Scholar
  16. 16.
    Xu B, Gao D, Wang S (2011) Adaptive neural control based on HGO for hypersonic flight vehicles. Sci China Inf Sci 54(3):511–520MathSciNetCrossRefMATHGoogle Scholar
  17. 17.
    Xu B, Huang X, Wang D, Sun F. Dynamic surface control of constrained hypersonic flight models with parameter estimation and actuator compensation. Asian J Control. doi: 10.1002/asjc.679

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.School of AutomationNorthwestern Polytechnical UniversityXi’AnChina
  2. 2.Department of Computer Science and TechnologyTsinghua UniversityBeijingChina
  3. 3.Department of Mathematics and Computer ScienceFree University of BerlinBerlinGermany

Personalised recommendations