UAV Autopilot Designing and Simulation in Longitudinal Motion Approaching to FLC

  • Mehran Rafiee Young Researchers Club, West Tehran Branch, Islamic Azad University, Tehran, IRAN
  • Rana Moeini West Tehran Branch, Islamic Azad University, Tehran, IRAN
  • Alireza Siadatan Department of Electrical Eng., West Tehran Branch, Islamic Azad University, Tehran, IRAN

Abstract

In this paper, the designing and simulation of an unmanned aerial vehicle (UAV) autopilot system using Fuzzy Logic Controller (FLC) is studied. At first the UAV mathematical model is explained by dynamic equations. Then, the FLC is designed considering the controller output variables, their range changes and the controller effects on the UAV are simulated. The controller is able to control the UAV automatically in specified track and height selected by the user by controlling the levels command and the aircraft speed. The controller is designed in such a way that would be used without changing the overall control algorithm. It can be used for most of UAVs just with small changes.

 

References

[1] Tsach, S., Peled, A., Penn, D., Keshales, B., Guedj, R., “Development Trends for Next Generation UAV Systems,” Israel Aircraft Industries Ltd., AIAA Infotech@Aerospace Conference Proceedings, May, 2007.
[2] Wegener, S., Schoenung, S., Totah, J., Sullivan, D., Frank, J., Enomoto, F., Frost C.,Theodore,C., “UAV Autonomous Operations for Airborne Science Missions,” AIAA 3rd Unmanned Unlimited Technical Conference Proceedings, 20-23 Sep., 2004, Illinois.
[3] Tsoukalas, L.H., Uhrig, R.E.: Fuzzy and Neural Approaches in Engineering. John Wiley & Sons, Inc., New York (1997).
[4] Mamdani, E.H., Assilian, E.S.: An experiment in linguistic synthesis with a fuzzy logic controller.Int. J. Man-Mach. Stud. 7, 113 (1975).
[5] Hung, N.R.P., Nuguyen, T., Walker, C.L., Walker, E.A.: A First Course in Fuzzy and Neural Control. Chapman & Hall/CRC, Boca Raton, FL (2003).
[6] How, J.P.: 16.333 aircraft stability and control [PDF documents]. Retrieved from http://ocw.mit.edu/OcwWeb/Aeronautics-and-Astronautics/16-333Fall-2004/CourseHome/index.htm.
[7] Roskam, jan., “Airplane flight dynamic and automatic flight controls” DARcorporation, USA,Part 1,Third printing, 2001.
[8] Ross, T., “Fuzzy Logic with Engineering Applications,” Wiley, West Sussex, United Kingdom, 2010.
[9] Gomez, J.F.: Intelligent control for a fixed-wing unmanned aerial vehicle.M.S. thesis, University of Texas at San Antonio, San Antonio, TX.
[10] Sabo, C., Cohen, K., Kumar, M., Abdallah, S., “Path Planning for a Fire-Fighting Aircraft using Fuzzy Logic,” University of Cincinnati, 47th AIAA Aerospace Sciences Meeting,Orlando, Florida, 5-8 Jan., 2009.
[11] M. Rafiee, M. Mazandarani “Operative Approach in UAV Radio Control Design ”, Proceeding of 1st NCAS, The 2011 1st National Conference on Avionics Systems, 11 July, Tehran, Iran, Page 151.
[12] Tsourdos, A., White, B., Shanmugavel, M., “Cooperative Path Planning of Unmanned Aerial Vehicles,” Wiley, West Sussex, United Kingdom, Jan., 2011.
[13] Unmanned Dynamics, LLC: Software solutions for autonomous vehicles. Available: http://www.u-dynamics.com. Accessed August 2008
[14]Khanian, Najmeh. "Designing Low Dropout Regulator with Low Settling Time, High Power Supply Rejection and Low Line and Load Regulation." Majlesi Journal of Electrical Engineering [Online], 7.1 (2013):
Published
2016-05-31
How to Cite
Rafiee, M., Moeini, R., & Siadatan, A. (2016). UAV Autopilot Designing and Simulation in Longitudinal Motion Approaching to FLC. Majlesi Journal of Mechatronic Systems, 5(2). Retrieved from https://ms.majlesi.info/index.php/ms/article/view/10
Section
Articles