Main Article Content

Abstract

This paper deals with the design and simulation of autonomous landing phase for an unmanned Air Vehicle. Pitch angle and airspeed autopilots are developed, followed by glide slope and flare controllers to guide the aircraft to safe landing. During transition from glide slope to flare path, an UAV tend to be in the unstable region. A blending function has been formulated for use in UAV to overcome this unstability during transition. The flight path command simulation architecture is developed to provide the appropriate command signals for glide path, flare, blending and braking after touchdown. The flight path command signals with reference to the destination airport allows the simulation to perform at any designated airport supported by simulation graphics. Successful landings are demonstrated at a variety of simulated airports all over the world. The MATLAB / SIMULINK toolbox is used as a design tool.

Keywords

Simulation, UAV, Autopilot, Landing Phase, Flight Control

Article Details

How to Cite
K. Senthil Kumar, & J. Shanmugam. (2023). Design and Simulation of Autonomous Landing Phase for An Unmanned Air Vehicle. Journal of Aerospace Sciences and Technologies, 60(4), 275–291. https://doi.org/10.61653/joast.v60i4.2008.798

References

  1. Blakelock J. H., "Automatic Control of Aircraft and Missiles", John Wiley Sons, New York, USA, 1990.
  2. Wang Yongsheng., Li Xiangpeng and Huang Yong., "Navigation System of Pilotless Aircraft Via GPS", IEEE Aerospace and Electronic SystemsMagazine,Vol.11, No. 8, August 1996, pp.16-20.
  3. Donald McLean., "Automatic Flight Control Systems", Prentice-Hall Publications, 1990.
  4. TaoYong and ShenYongzhang., "Guidance and Control for Automatic Landing of UAV", J. Transactions of Nanjing, University of Aeronautics and Astronautics, 18 (2): 229-235, 2001.
  5. Y. Li, Sundararajan, N., Saratchandran, P. and Wang, Z., "Robust Neuro-Hà, Controller Design for Aircraft Auto-landing", IEEE Trans. Aerospace Electronics. Syst., 40 (1), 2004, pp.158-167.
  6. Charles C Jorgensen and Schley, C., "A Neural Network Baseline Problem for Control of Aircraft Flare and Touchdown", edited by W.Thomas Miller lll, Richard S. Sutton and Paul J.Werbos editors appeared in the "Neural Networks for Control", pp.403425.
  7. http://www.earth.google.com/.
  8. Senthil Kumar, K, Sudhir Reddy and Shanmugam, J., "Design and Simulation of Blending Function for Landing Phase of an Unmanned Air Vehicle", Defence Science Journal, Vol.58, No. 3, 2008, pp.315326.
  9. Jan Roskam., "Airplane Flight Dynamic and Automatic Flight Controls", Part I and Part II, Roskam Aviation and Engineering Corporation, Kansas.
  10. Senthil Kumar, K., Jagadeesh Balaji, P. and Shanmugam, J., "Development and Tuning of a Nonlinear Six DOF Model and Controllers for a Large UAV", International Journal of Aerospace Sciences and Technologies, Vol.59, No. 3, August 2007, pp.185195.
  11. Stevens, B.L. and Frank L Lewis., "Aircraft Control and Simulation", A Wiley-Inderscience Publication, 1992.
  12. Control System Toolbox User’s Manual, The Math Works Inc., 2005.
  13. Simulink User’s Manual and User’s Guide, The Math Works Inc., 2004.
  14. Meyer, A., X-Plane UDP Reference Manual, 2005.
  15. Kreider, L., http://www.flightmotion.com/docs/faa_ approval.htm., FAA Approval Document.
  16. Walker, I. M. et al., "Simulation for the Next Generation of Civilian Airspace Integrated UAV Platforms", Proceedings of the AIAA Modeling and Simulation Technologies Conference and Exhibit,
  17. Rhode Island, 2006.
  18. Liu, P., Meng, M., Ye, X. and Gu, J., "An UDP-based Protocol for Internet Robots", Proceedings of the 4th World Congress Intelligent Control and Automation, China, June 2002.