Multi-objective Robust Output Feedback Control for Receiver Station-Keeping in Boom and Receptacle Refueling

  • Liang Chang
  • Yingmin JiaEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 528)


This paper considers the multi-objective reliable robust output feedback control problem for receiver station-keeping in boom and receptacle refueling (BRR), which considers the main features of BRR, i.e., mass and inertia variation of receiver aircraft, sensors failure, input constraints and disturbance attenuation. A new receiver aircraft model is firstly established in terms of those main features of BRR. Then, a new multiple objectives robust output feedback controller is designed for this control problem. The controller’s existence is derived by using the Lyapunov method and linear matrix inequalities (LMIs) technique; and then the desired controller can be achieved by the LMI tools. A practice example is presented to demonstrate that the proposed controller design method can successfully solve the multi-objective control problem.


Robust output feedback control Mass and inertia variation Sensors failure 



This work was supported by the NSFC (61327807,61521091, 61520106010, 61134005) and the National Basic Research Program of China (973 Program: 2012CB821200, 2012CB821201).


  1. 1.
    C. McFarlane, T.S. Richardson, C.D.C. Jones, Cooperative control during boom air-to-air refueling in Proceedings Navigation and Control Conference and Exhibit, AIAA Guidance (2007)Google Scholar
  2. 2.
    P.R. Thomas, S. Bullock et al., Collaborative control in a flying-boom aerial refueling simulation. J. Guid. Control Dyn., 38(7), 1274–1289 (2015)Google Scholar
  3. 3.
    M.D. Tandale, R. Bowersy, J. Valasek, Robust trajectory tracking controller for vision based probe and drogue autonomous aerial refueling, in Proceedings Navigation and Control Conference and Exhibit (AIAA Guidance, 2005)Google Scholar
  4. 4.
    A. Dogan, S. Sato, W. Blake, Flight control and simulation for aerial refueling, in Proceedings Navigation and Control Conference and Exhibit (AIAA Guidance, 2005)Google Scholar
  5. 5.
    C.M. Elliott, A. Dogan, Improving receiver station-keeping in aerial refueling by formulating tanker motion as disturbance, in Proceedings AIAA Atmospheric Flight Mechanics Conference (2009)Google Scholar
  6. 6.
    J. Valasek, K. Gunnam et al., Vision-based sensor and navigation system for autonomous air refueling. J. Guid. Control Dyn. 28(5), 979–989 (2005)Google Scholar
  7. 7.
    J. Doebbler, T. Spaeth et al., Boom and receptacle autonomous air refueling using visual snake optical sensor. J. Guid. Control Dyn. 30(6), 1753–1769 (2007)Google Scholar
  8. 8.
    C.M. Elliott, A. Dogan, Investigating nonlinear control architecture options for aerial refueling, in Proceedings AIAA Atmospheric Flight Mechanics Conference (2010)Google Scholar
  9. 9.
    J. Wang, N. Hovakimyan, C. Cao, Verifiable adaptive flight control: unmanned combat aerial vehicle and aerial refueling. J. Guid. Control Dyn. 33(1), 75–87 (2010)Google Scholar
  10. 10.
    S. Venkataramanan, A. Dogan, Dynamic effects of trailing vortex with turbulence and time-varying inertia in aerial refueling, in Proceedings AIAA Atmospheric Flight Mechanics Conference and Exhibit (2004)Google Scholar
  11. 11.
    M. Pachter, C.H. Houpis, D.W. Trosen, Design of an air-to-air automatic refueling flight control system using quantitative feedback theory. Int. J. Robust Nonlin. 7(6), 561–580Google Scholar
  12. 12.
    R. Brockhaus, W. Alles, R. Luckner, Flugregelung (Springer, Germany, 2011)Google Scholar
  13. 13.
    M.V. Basin, A.E. Rodkina, On delay-dependent stability for a class of nonlinear stochastic delay-difference equations.Dyn. Continuous, Discr. Impul. Syst. 12(5), 663–675 (2005)Google Scholar
  14. 14.
    Y. Jia, Robust  \(H_\infty \)  control (Science Press, Beijing, 2007)Google Scholar
  15. 15.
    S. Patra, S. Sen, G. Ray, Local stabilisation of uncertain linear time-invariant plant with bounded control inputs: parametric \(H_\infty \) loop-shaping approach. IET Contr. Theory Appl. 6(11), 1567–1576 (2012)Google Scholar
  16. 16.
    J. Fan, Y. Zhang, Z. Zheng, Robust fault-tolerant control against time-varying actuator faults and saturation. IET Contr. Theory Appl. 6(14), 2198–2208 (2012)Google Scholar
  17. 17.
    L. Chang, Y. Jia, Robust \(H_{\infty }\) control for tanker station-keeping with mass and inertia variation, in Proceedings 13th IEEE Conference on Automation Science and Engineering (2017)Google Scholar
  18. 18.
    S. Boyd, L.E. Ghaoui et al., Linear matrix inequalities in systems and control theory (SIAM, Philadelphia, PA, 1994)CrossRefGoogle Scholar
  19. 19.
    H. Gao, X. Yang, P. Shi, Multi-objective robust \(H_\infty \) control of spacecraft rendezvous. IEEE Trans. Control Syst. Technol. 17(4), 794–802 (2009)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Automation Science and Electrical EngineeringThe Seventh Research Division and the Center for Information and Control, Beihang University (BUAA)BeijingChina

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