A Self-Tuning Fuzzy Logic Controller for Aircraft Roll Control System

In this paper, an aircraft roll control system based on autopilot operating conditions is modeled and simu lated using Matlab/Simulink. The modeling phase begins with the derivation of required mathematical model to describe the lateral d irectional motion of an aircraft. Then, Linear Quadratic Regulator (LQR), Fuzzy Logic Controller (FLC) and Self-Tuning Fu zzy Logic Controller (STFLC) are applied for controlling the roll angle o f the modeled aircraft system. Simu lation results of ro ll controllers are presented in time do main and the results obtained with STFLC are co mpared 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 simu lation results, it is shown that STFLC deliver better performance than FLC and LQR.

[1]  I. Altas,et al.  A GENERALIZED DIRECT APPROACH FOR DESIGNING FUZZY LOGIC CONTROLLERS IN MATLAB / SIMULINK GUI ENVIRONMENT , 2007 .

[2]  Mohd Fua'ad Rahmat,et al.  Pitch control system using LQR and Fuzzy Logic Controller , 2010, 2010 IEEE Symposium on Industrial Electronics and Applications (ISIEA).

[3]  Lucio R. Ribeiro,et al.  UAV autopilot controllers test platform using Matlab/Simulink and X-Plane , 2010, 2010 IEEE Frontiers in Education Conference (FIE).

[4]  Omur Akyazi,et al.  Aircraft roll control system using LQR and fuzzy logic controller , 2011, 2011 International Symposium on Innovations in Intelligent Systems and Applications.