A Self Tuning Fuzzy Logic Controller For Aircraft Roll Control System

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Akyazı Ö. , Usta M. A. , Akpınar A. S.

International Journal of Control Science and Engineering, no.2, pp.181-188, 2012 (Refereed Journals of Other Institutions)

  • Publication Type: Article / Article
  • Publication Date: 2012
  • Title of Journal : International Journal of Control Science and Engineering
  • Page Numbers: pp.181-188


In this paper, an aircraft roll control system based on autopilot operating conditions is modeled and simulated using Matlab/Simulink. The modeling phase begins with the derivation of required mathematical model to describe the lateral directional motion of an aircraft. Then, Linear Quadratic Regulator (LQR), Fuzzy Logic Controller (FLC) and Self-Tuning Fuzzy Logic Controller (STFLC) are applied for controlling the roll angle of the modeled aircraft system. Simulation results of roll controllers are presented in time domain and the results obtained with STFLC are compared with the results of FLC and LQR. Finally, the performances of roll control systems are analysed in order to decide which control method gives better performance with respect to the desired roll angle. According to simulation results, it is shown that STFLC deliver better performance than FLC and LQR.