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Mathematical Problems in Engineering
Volume 2014, Article ID 187345, 11 pages
Research Article

Direct Self-Repairing Control for Quadrotor Helicopter Attitude Systems

College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Received 12 December 2013; Accepted 28 February 2014; Published 31 March 2014

Academic Editor: Rongni Yang

Copyright © 2014 Huiliao Yang 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. B. Nie, H. Ma, J. Wang, and J. Wang, “Study on actualities and critical technologies of micro/mini quadrotor,” Electronics Optics and Control, vol. 14, no. 6, pp. 113–1117, 2007. View at Google Scholar
  2. S. Bouabdallah, A. Noth, and R. Siegwart, “PID versus LQ control techniques applied to an indoor micro Quadrotor,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '04), pp. 2451–2456, IEEE, New York, NY, USA, October 2004. View at Scopus
  3. E. Altug, Vision Based Control of Unmanned Aerial Vehicles with Applications to autonomous Four Rotor Helicopter Quadrotor, University of Pennsylvania, Philadelphia, Pa, USA, 2003.
  4. S. Wang, Research of Quadrotor Control, Harbin Institute of Technology, Harbin, China, 2006.
  5. C. Yang, Z. Yang, X. Huang, and D. Xu, “Distributed Fault-tolerant control for Quadrotor,” Journal of Applied Sciences, vol. 31, no. 3, pp. 321–330, 2013. View at Google Scholar
  6. X. Gong, C. Peng, and Y. Tian, “Reliable attitude stability control of Quad-rotor based on fault-tolerant approach,” in Proceedings of the IEEE International Conference on Mechatronics and Automation, pp. 1015–1020, IEEE, New York, NY, USA, 2012.
  7. F. Sharifi, M. Mirzaei, B. W. Gordon, and Y. Zhang, “Fault tolerant control of a quadrotor UAV using sliding mode control,” in Proceedings of the 1st Conference on Control and Fault-Tolerant Systems (SysTol '10), pp. 239–244, New Jersey, NJ, USA, October 2010. View at Publisher · View at Google Scholar · View at Scopus
  8. C. Pedro, L. Rogelio, and E. D. Alejandro, Modeling and Control of Mini-Flying Machines, Springer, New York, NY, USA, 2005.
  9. X. Tang, G. Tao, and S. M. Joshi, “Compensation of nonlinear MIMO systems for uncertain actuator failures with an application to aircraft control,” in Proceedings of the 41st IEEE Conference on Decision and Control, pp. 1245–1250, New York, NY, USA, December 2002. View at Scopus
  10. S. Labiod and T. M. Guerra, “Direct adaptive fuzzy control for a class of MIMO nonlinear systems,” International Journal of Systems Science, vol. 38, no. 8, pp. 665–675, 2007. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  11. P. Li and G.-H. Yang, “Fault tolerant control for unknown nonlinear systems with actuator failures: an adaptive fuzzy approach,” in Proceedings of the American Control Conference (ACC '08), pp. 4330–4335, usa, June 2008. View at Publisher · View at Google Scholar · View at Scopus
  12. L. Wang, Adaptive Fuzzy Systems Ad Control Design and Stability Analysis, Prentice Hall, Englewood Cliffs, NJ, USA, 1994.
  13. Quanser Consultiing, 3D Hover System, Quanser inc, 2005.