Omur Akyazi

Aircraft roll control system using LQR and fuzzy logic controller

In this paper, an aircraft roll control system based on design an autopilot that controls the roll angle of an aircraft is modeled using Matlab/Simulink. Firstly, modeling phase begins with a derivation of suitable mathematical model to describe the lateral directional motion of an aircraft. Then, the Linear Quadratic Controller (LQR) and Fuzzy Logic Controller (FLC) are developed for controlling the roll angle of an aircraft system. Simulation results of roll controllers are presented in time domain and the results obtained with LQR control are compared with the results of FLC. Finally, the performances of roll control systems are analyzed in order to decide which control method gives better performance with respect to the desired roll angle. According to simulation results, it is showed that LQR controller deliver the best performance than fuzzy logic controller.

Antenna azimuth position control with classical PID and fuzzy logic controllers

In this study, an antenna azimuth position control system is controlled by using a Proportional-IntegralDerivative (PID) controller and a fuzzy logic controller (FLC) designed in Matlab/Simulink environment. In order to obtain the best system response with FLC, different types of fuzzy rules and membership functions are tested. System responses with proposed controller and PID controller are compared to each other and commented according to these results.

Simulation of direct thrust control for linear induction motor including end-effect

In this paper, a direct thrust control (DTC) of linear induction motor (LIM) has been developed and a comprehensive study is presented. DTC is a method based on primer flux control in the stationary reference frame using direct control of the inverter switching. The basic concept of DTC is to control both primer flux and electromagnetic thrust of the machine simultaneously. Modeling phase begins with a derivation of suitable mathematical model to describe LIM in the stationary α-β reference frame. Then, the concept of DTC based on switching table (ST-DTC) strategy is illustrated and dealt with in detail. Finally, the performance of this control method has been demonstrated by simulations performed using Matlab/Simulink and the results obtained from the simulations are discussed.

Antenna azimuth position control with fuzzy logic and self-tuning fuzzy logic controllers

In this study, an antenna azimuth position control system is used to be controlled by a classical proportional-integral controller (PI), fuzzy logic controller (FLC) and a self-tuning fuzzy logic controller (STFLC). The proposed self-tuning fuzzy logic controller is designed via Matlab/SIMULINK environment in order to tune the scaling factors G1 and G2, the fuzzy gains of the controller inputs error and its change, on-line. Simulation results show that the performance of proposed controller is better than the other controllers in terms of the settling time and overshoot.