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

Abstract

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.

AN Optimization control Techniques for Aircraft Yaw Control Lateral Dynamics

“…The simulation results performance of the proposed control techniques was evaluated based on time response specification of controllers. In [10] developed the model of an aircraft roll control system which will be useful for control strategy to an actual aircraft system was designed for Matlab/Simulink environment. The state and output equations with time domain methods for the automatic flight control system was proposed by authors in [11] with flight control system considering reference aircraft CHARLIE under different flight conditions.…”

System Modeling and Controller Design for Lateral and Longitudinal Motion of F-16

“…PID controller utilizes the basic control scheme of the classical control laws. In basic PID controller measures the error signal value which gives the difference between reference signal and output of the system [12]. The PID controller regulates the pitch control input in order to reduce the error signal.…”

Pso Based Fuzzy Logi̇c Control Desi̇gn for a Dc/Dc Boost Converter

“…In this section, linguistic control rules and inference mechanism are used to generate fuzzfied results. These results are defuzzified in the defuzzification section and crisp control signal is applied to the system to be controlled [18][19][20]. Fuzzification and defuzzification operations are given in Figure 4 [15][16][17][18][19][20].…”

“…Some of these functions are triangular, trapezoidal, Gaussian, Sigmoidal and Bell curves, etc. Triangular MFs of which mathematical description given in (12) are implemented in this study [15][16][17][18][19][20].…”