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.
ÖzBu makalede DC motor hız kontrolü için balina optimizasyonu (WOA) ve güve-alevi optimizasyonu (MFO) algoritmaları kullanılarak en uygun PID denetleyici parametreleri (kp, ki ve kd) belirlenmiştir. PID denetleyici parametre değerleri belirlenirken her iki algoritma için de hata tabanlı bir amaç fonksiyonu olan hatanın mutlak değerinin zaman ağırlıklı integrali (ITAE) seçilmiştir. İki farklı yaklaşımla tasarlanan PID denetleyicilerin yakınsama profili analizi, geçici tepki analizi, frekans uzayı analizi (bode analizi), hata tabanlı performans ölçütlerinin analizi ve bozucu yük cevabı analizi MATLAB programı aracılığıyla gerçekleştirilmiş ve performansları karşılaştırılmıştır. Bulunan sonuçlara göre WOA tabanlı PID denetleyicinin MFO tabanlı PID denetleyiciye göre daha iyi sonuç verdiği gözlemlenmiştir. Ayrıca balina optimizasyonu algoritmasıyla ayarlanan PID denetleyicisinin atom arama optimizasyonu (ASO), gri kurt optimizasyonu (GWO), yabani ot optimizasyonu (IWO) ve stokastik fraktal arama (SFS) algoritmaları kullanılarak ayarlanmış PID denetleyicilerine göre geçici tepki karakteristiğini iyileştirdiği, dayanıklılığını arttırdığı ve sistemde yük momentinden kaynaklanan bir değişiklik meydana geldiğinde bu bozulmayı daha kısa sürede toparlamayı başardığı görülmüştür.
In this study, a DC / DC boost converter was designed for wind energy systems in Matlab / Simulink and output voltage control was examined under variable load conditions. The designed converter was controlled to obtain desired constant output voltage when the input voltage was variable or to obtain desired variable output voltage when the input voltage was constant. The system performance is compared using classical PI controller and Fuzzy Logic Control (FLC). Also, some system parameters are optimized with PSO to improve system performance using the weighted absolute error (ITAE) criteria as a fitness function. Thus smarter and more efficient control is provided for the proposed system. The simulation study is realized via Matlab/Simulink and the results are evaluated.
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