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Constant Altitude Flight Control for Quadrotor UAVs with Dynamic Feedforward Compensation

  • Razinkova, Anastasia (Department of Electronics Engineering, Korea University of Technology and Education) ;
  • Kang, Byung-Jun (Department of Electronics Engineering, Korea University of Technology and Education) ;
  • Cho, Hyun-Chan (Department of Electronics Engineering, Korea University of Technology and Education) ;
  • Jeon, Hong-Tae (Department of Electronics Engineering, Chung-Ang University)
  • Received : 2013.12.24
  • Accepted : 2014.03.24
  • Published : 2014.03.25

Abstract

This study addresses the control problem of an unmanned aerial vehicle (UAV) during the transition period when the flying mode changes from hovering to translational motion in the horizontal plane. First, we introduce a compensation algorithm that improves height stabilization and reduces altitude drop. The main principle is to incorporate pitch and roll measurements into the feedforward term of the altitude controller to provide a larger thrust force. To further improve altitude control, we propose the fuzzy logic controller that improves system behavior. Simulation results presented in the paper highlight the effectiveness of the proposed controllers.

Keywords

References

  1. A. Ryan and J. K. Hedrick, "A mode-switching path planner for UAV-assisted search and rescue," in 44th IEEE Conference on Decision and Control and European Control Conference, Seville, Spain, December 12-15, 2005, pp. 1471-1476. http://dx.doi.org/10.1109/CDC.2005.1582366
  2. K. Alexis, G. Nikolakopoulos, A. Tzes, and L. Dritsas, "Coordination of helicopter UAVs for aerial forest-fire surveillance," in Applications of Intelligent Control to Engineering Systems Vol. 39, K. P. Valavanis, Ed. New York, NY: Springer, 2009, pp. 169-193. http://dx.doi.org/10.1007/978-90-481-3018-4 7
  3. G. Caprari, A. Breitenmoser, W. Fischer, C. Hrzeler, F. Tche, R. Siegwart, P. Schoeneich, F. Rochat, F. Mondada, and R. Moser, "Highly compact robots for inspection of power plants," in 1st International Conference on Applied Robotics for the Power Industry, Montreal, QC, October 5-7, 2010, pp. 1-6. http://dx.doi.org/10.1109/CARPI.2010.5624412
  4. S. R. Herwitz, L. F. Johnson, S. E. Dunagan, R. G. Higgins, D. V. Sullivan, J. Zheng, B. M. Lobitz, J. G. Leung, B. A. Gallmeyer, M. Aoyagi, R. E. Slye, and J. A. Brass, "Imaging from an unmanned aerial vehicle: agricultural surveillance and decision support," Computers and Electronics in Agriculture, vol. 44, no. 1, pp. 49-61, Jul. 2004. http://dx.doi.org/10.1016/j.compag.2004.02.006
  5. S. Jeong and S. Jung, "Design, control, and implementation of small quad-rotor system under practical limitation of cost effectiveness," International Journal of Fuzzy Logic and Intelligent Systems, vol. 13, no. 4, pp. 324-335, Dec. 2013. http://dx.doi.org/10.5391/IJFIS.2013.13.4.324
  6. S. Bouabdallah, A. Noth, and R. Siegwart, "PID vs LQ control techniques applied to an indoor micro quadrotor," in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28-October 2, 2004, pp. 2451-2456. http://dx.doi.org/10.1109/IROS.2004.1389776
  7. A. Benallegue, A. Mokhtari, and L. Fridman, "Feedback linearization and high order sliding mode observer for a quadrotor UAV," in International Workshop on Variable Structure Systems, Alghero, Sardinia, June 5-7, 2006, pp. 365-372. http://dx.doi.org/10.1109/VSS.2006.1644545
  8. A. Das, F. Lewis, and K. Subbarao, "Backstepping approach for controlling a quadrotor using lagrange form dynamics," Journal of Intelligent and Robotic Systems, vol. 56, no. 1-2, pp. 127-151, Sep. 2009. http://dx.doi.org/10.1007/s10846-009-9331-0
  9. Z. T. Dydek, A. M. Annaswamy, and E. Lavretsky, "Adaptive control of quadrotor UAVs: a design trade study with flight evaluations," IEEE Transactions on Control Systems Technology, vol. 21, no. 4, pp. 1400-1406, Jul. 2013. http://dx.doi.org/10.1109/TCST.2012.2200104
  10. K. Alexis, G. Nikolakopoulos, and A. Tzes, "Switching model predictive attitude control for a quadrotor helicopter subject to atmospheric disturbances," Control Engineering Practice, vol. 19, no. 10, pp. 1195-1207, Oct. 2011. http://dx.doi.org/10.1016/j.conengprac.2011.06.010
  11. T. Hamel, R. Mahony, R. Lozano, and J. Ostrowski, "Dynamic modelling and configuration stabilization for an X4-flyer," in Proceedings of the 15th IFAC World Congress, Barcelona, Spain, July 21-26, 2002, pp. 846. http://dx.doi.org/10.3182/20020721-6-ES-1901.00848
  12. Z. Zuo, "Trajectory tracking control design with command-filtered compensation for a quadrotor," IET Control Theory & Applications, vol. 4, no. 11, pp. 2343-2355, Nov. 2010. http://dx.doi.org/10.1049/iet-cta.2009.0336
  13. S. Bouabdallah, P. Murrieri, and R. Siegwart, "Design and control of an indoor micro quadrotor,"in Proceedings of the IEEE International Conference on Robotics and Automation, New Orleans, LA, April 26-May 1, 2004, pp. 4393-4398. http://dx.doi.org/10.1109/ROBOT.2004.1302409
  14. P. McKerrow, "Modelling the Draganflyer four-rotor helicopter," in Proceedings of the IEEE International Conference on Robotics and Automation, New Orleans, LA, April 26-May 1, 2004, pp. 3596-3601. http://dx.doi.org/10.1109/ROBOT.2004.1308810
  15. R. Mahony, V. Kumar, and P. Corke, "Multirotor aerial vehicles: modeling, estimation, and control of quadrotor," IEEE Robotics & Automation Magazine, vol. 19, no. 3, pp. 20-32, Sep. 2012. http://dx.doi.org/10.1109/MRA.2012.2206474

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