Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2016 (2016), Article ID 4753241, 9 pages
http://dx.doi.org/10.1155/2016/4753241
Research Article

An Adaptive Dynamic Surface Controller for Ultralow Altitude Airdrop Flight Path Angle with Actuator Input Nonlinearity

Aeronautics and Astronautics Engineering, Air Force Engineering University, Xi’an 710038, China

Received 23 March 2016; Accepted 20 June 2016

Academic Editor: Thierry Floquet

Copyright © 2016 Mao-long Lv et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. R. Liu, X. X. Sun, and W. H. Dong, “Hybrid iteration sliding mode control for ultra-low altitude airdrop level off,” Journal of Beijing University of Aeronautics and Astronautics, vol. 41, no. 1, pp. 83–89, 2015 (Chinese). View at Publisher · View at Google Scholar · View at Scopus
  2. R. Liu, X. X. Sun, and W. H. Dong, “Dynamics modeling and control of a transport aircraft for ultra-low altitude airdrop,” Chinese Journal of Aeronautics, vol. 28, no. 2, pp. 478–487, 2015. View at Publisher · View at Google Scholar · View at Scopus
  3. J. Molina, X. Zhang, and D. Angland, “On the unsteady motion and stability of a heaving airfoil in ground effect,” Acta Mechanica Sinica, vol. 27, no. 2, pp. 164–178, 2011. View at Publisher · View at Google Scholar · View at Scopus
  4. W. F. Phillips and D. F. Hunsaker, “Lifting-line predictions for induced drag and lift in ground effect,” Journal of Aircraft, vol. 50, no. 4, pp. 1226–1233, 2013. View at Publisher · View at Google Scholar · View at Scopus
  5. S. Geisbauer, N. Schade, and S. Enk, “Experimental and numerical investigation of the flow topology during airdrop operations,” in Proceedings of the 21st AIAA Aerodynamic Decelerator Systems Technology Conference, pp. 1–11, AIAA, Reston, Va, USA, 2011.
  6. H. Sadat-Hoseini, S. A. Fazelzadeh, A. Rasti, and P. Marzocca, “Final approach and flare control of a flexible aircraft in crosswind landings,” Journal of Guidance, Control, and Dynamics, vol. 36, no. 4, pp. 946–957, 2013. View at Publisher · View at Google Scholar · View at Scopus
  7. R. Liu, X. X. Sun, W. H. Dong, D. Wang, and Y. Chang, “Dynamics modeling and L1 adaptive control of a transport aircraft for heavyweight airdrop,” Mathematical Problems in Engineering, vol. 2015, Article ID 365130, 15 pages, 2015. View at Publisher · View at Google Scholar · View at Scopus
  8. O. Härkegård and S. T. Glad, “Resolving actuator redundancy—optimal control vs. control allocation,” Automatica, vol. 41, no. 1, pp. 137–144, 2005. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  9. H. Li, Y.-A. Zhang, F.-C. Sun, and W.-H. Li, “Global set-stable nonlinear adaptive dynamic control allocation for aircraft with multiple control effectors,” Control and Decision, vol. 28, no. 3, pp. 379–390, 2013. View at Google Scholar · View at Scopus
  10. S. C. Tong and Y. M. Li, “Adaptive fuzzy output feedback tracking backstepping control of strict-feedback nonlinear systems with unknown dead zones,” IEEE Transactions on Fuzzy Systems, vol. 20, no. 1, pp. 168–180, 2012. View at Publisher · View at Google Scholar · View at Scopus
  11. Y. M. Li, S. C. Tong, and T. S. Li, “Adaptive fuzzy output feedback dynamic surface control of interconnected nonlinear pure-feedback systems,” IEEE Transactions on Cybernetics, vol. 45, no. 1, pp. 138–149, 2015. View at Publisher · View at Google Scholar · View at Scopus
  12. Y. M. Li, S. C. Tong, Y. J. Liu, and T. S. Li, “Adaptive fuzzy robust output feedback control of nonlinear systems with unknown dead zones based on a small-gain approach,” IEEE Transactions on Fuzzy Systems, vol. 22, no. 1, pp. 164–176, 2014. View at Publisher · View at Google Scholar · View at Scopus
  13. Y. M. Li and S. C. Tong, “Adaptive fuzzy output-feedback control of pure-feedback uncertain nonlinear systems with unknown dead zone,” IEEE Transactions on Fuzzy Systems, vol. 22, no. 5, pp. 1341–1347, 2014. View at Publisher · View at Google Scholar · View at Scopus
  14. S.-C. Tong, Y.-M. Li, G. Feng, and T.-S. Li, “Observer-based adaptive fuzzy backstepping dynamic surface control for a class of MIMO nonlinear systems,” IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 41, no. 4, pp. 1124–1135, 2011. View at Publisher · View at Google Scholar · View at Scopus
  15. R. D. Nussbaum, “Some remarks on a conjecture in parameter adaptive control,” Systems & Control Letters, vol. 3, no. 5, pp. 243–246, 1983. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  16. S. S. Ge, F. Hong, and T. H. Lee, “Adaptive neural control of nonlinear time-delay systems with unknown virtual control coefficients,” IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 34, no. 1, pp. 499–516, 2004. View at Publisher · View at Google Scholar · View at Scopus
  17. Y. T. Wen and X. M. Ren, “Neural networks-based adaptive control for nonlinear time-varying delays systems with unknown control direction,” IEEE Transactions on Neural Networks, vol. 22, no. 10, pp. 1599–1612, 2011. View at Publisher · View at Google Scholar · View at Scopus