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Aircraft Yaw Control System using LQR and Fuzzy Logic Controller

International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 45 - Number 9
Year of Publication: 2012
Vishnu G Nair
Dileep M V
V I George

Vishnu G Nair, Dileep M V and V I George. Article: Aircraft Yaw Control System using LQR and Fuzzy Logic Controller. International Journal of Computer Applications 45(9):25-30, May 2012. Full text available. BibTeX

	author = {Vishnu G Nair and Dileep M V and V I George},
	title = {Article: Aircraft Yaw Control System using LQR and Fuzzy Logic Controller},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {45},
	number = {9},
	pages = {25-30},
	month = {May},
	note = {Full text available}


This paper presents a comparative assessment of modern and intelligent controllers based on time response specification performance for a yaw control of an aircraft system. The dynamic modeling of yaw control system is performed and an autopilot that controls the yaw angle of an aircraft is designed using two controller design methods. The mathematical model of the system is derived by substituting the known parameters of a standard aircraft in standard equations. The transfer function for yaw control surface, i. e. rudder, is derived and two separate controllers,Linear Quadratic Controller (LQR) and Fuzzy Logic Controller (FLC) are designed for controlling the yaw angle. The effectiveness of each controllers are tested and verified using Matlab/Simulink platform. It is found from simulation, LQR controller give the best performance compared to fuzzy logic controller.


  • R. C. Nelson, 1998, Flight Stability and Automatic Control, McGraw Hill, Second Edition.
  • Lucio R. Riberio and Neusa Maria F. Oliveira, "UAV Autopilot Controllers Test Platform Using Matlab/Simulink and X-Plane", 40th ASEE/IEEE Frontiers in Education Conference, October 27-30, 2010, Washington, DC.
  • M. Ali Usta,ÖmürAkyaz? and SefaAkp?nar "Aircraft Roll Control System Using LQR and Fuzzy Logic Controller",2011 IEEE,978-1-61284-922-5/11/26. 00
  • Nurbaiti Wahid and MohdFua'adRahmat, "Pitch Control System Using LQR and Fuzzy Controller", 2010 IEEE Symposium on Industrial Electronics and Applications (ISIEA 2010), October 3-5, 2010, Penang, Malaysia (01. 03. 2011)
  • M?chael V. Cook, 2007, Flight Dynamics Pr?nc?ples, Elsev?er, Second Edition.
  • Matilde Santos, Victoria LópezFrancisoMorata, "Intelligent Fuzzy Controller of a Quadrotor",2010 IEEE978-1-4244-6793-8/10/$26. 00
  • Le Zhang1,2, Shaojie Bi2, Hong Yang2,"Fuzzy-PID Control Algorithm of the Helicopter Model Flight Attitude Control", 978-1-4244-5182-1/10/$26. 00 _c 2010 IEEE
  • Nurbaiti Wahid, NurhaffizahHassan,"Self-tuning Fuzzy PID Controller Design for Aircraft Pitch Control",978-0-7695-4668-1/12 $26. 00 © 2012 IEEE
  • Zhichao Liu, ZouhairChoukri el haj, and HongboShi ,"Control Strategy Design Based on Fuzzy Logic and LQR for 3-DOFHelicopter Model",978-1-4244-7050-1/10/$26. 00 2011IEEE
  • Joshué Pérez, Vicente Milanés, and Enrique Onieva," Cascade Architecture for Lateral Control inAutonomous Vehicles", IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, VOL. 12, NO. 1, MARCH 2011
  • www. wikipedia. org//wiki/Flight_control_system