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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.

Solar energy, which is one of the renewable energy sources, has an important role in meeting the increasing electrical energy demand of our globe. In recent years, many countries have established their energy policies based on solar energy, and researchers have been working on solar panel efficiency, maximum energy extraction from the sun, control and power electronics. The energy extracting from the sun is converted into electrical energy via solar panels. To extract continuously maximum energy level from the sun reduces installation costs and makes it easier to meet the demanded peak electrical power. Physical conditions such as muddy rain, snow and dusting place between the solar panel and the sun. This situation results the reduced electrical power extraction level which can be technically produced with clean solar panel surface. Therefore, it is also very important to keep the solar panels clean as well as the maximum power point tracking devices. In this study, a solar panel cleaning robot (SPCR) has been designed and tested in real time. The designed dual-motor and crawler robot moves horizontally and the cleaning brush runs on the vertical axis. In addition, the length of the solar panel array can be detected by position switches to keep the SPCR in desired working area.

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.