Yazar "Manuel, Nelson Luis" seçeneğine göre listele

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    Öğe
    Control and performance analyses of a DC motor using optimized PIDs and fuzzy logic controller
    (Elsevier, 2023) Manuel, Nelson Luis; Inanc, Nihat; Lily, Murat
    Based on the no-free-lunch theorem, researchers have been proposing optimization algorithms for solving complex engineering problems. This paper analyzes the performance of five metaBased Optimization (TLBO), Differential Evolution (DE), and Genetic Algorithm (GA) in finetuning the gains of a Proportional-Integral-Derivative (PID) to control the speed of a DC motor. The selected metaheuristics, in addition to being from distinct classes, are well established in their respective groups. The methods and findings of this study can be summarized in three phases. First, the mathematical model of the DC motor is deduced. Second, detailed descriptions of the aforementioned algorithms are presented. Furthermore, the structures of the applied controllers are discussed. Third, comparisons based on statistical indicators and analyses in the time and frequency domains, in addition to robustness and load disturbance tests, are performed. The results revealed that if a sufficient number of runs is given for each metaheuristic, despite being in different runs, all algorithms are able to propose the same optimal gain values. TLBO presented the highest speed, while GA and DE were the slowest in finding optimal values. Additionally, the results were compared with the Opposition-Based Learning Henry Gas Solubility Optimization (OBL/HBO)-based PID, reported to have better results than some previously published works on this topic, and a Fuzzy Logic Controller (FLC). The five optimized controllers obtained approximately the same results and outperformed the OBL/HGO-based PID, but the FLC was superior compared to the metaheuristic-based PIDs.
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    Öğe
    Control of mobile robot formations using A-star algorithm and artificial potential fields
    (National Research and Innovation Agency (BRIN), 2021) Manuel, Nelson Luis; İnanç, Nihat; Erten, Mustafa Yasin
    Formations or groups of robots become essential in cases where a single robot is insufficient to satisfy a given task. With an increasingly automated world, studies on various topics related to robotics have been carried out in both the industrial and academic arenas. In this paper, the control of the formation of differential mobile robots based on the leader-follower approach is presented. The leader's movement is based on the least cost path obtained by the A-star algorithm, thus ensuring a safe and shortest possible route for the leader. Follower robots track the leader's position in real time. Based on this information and the desired distance and angle values, the leader robot is followed. To ensure that the followers do not collide with each other and with the obstacles in the environment, a controller based on artificial potential fields is designed. Stability analysis using Lyapunov theory is performed on the linearized model of the system. To verify the implemented technique, a simulator was designed using the MATLAB programming language. Seven experiments are conducted under different conditions to show the performance of the approach. The distance and orientation errors are less than 0.1 meters and 0.1 radians, respectively. Overall, mobile robots are able to reach the goal position and maintaining the desired formation in finite time. © 2021 Research Centre for Electrical Power and Mechatronics - Indonesian Institute of Sciences.
  • Küçük Resim
    Öğe
    Hibrit AC-DC mikro şebekeler için kontrolör tasarımı
    (Kırıkkale Üniversitesi, 2022) Manuel, Nelson Luis; İnanç, Nihat
    Mikro şebeke, sürekli artan sabit yük talebi ve yenilenebilir enerji kaynaklarına dayalı dağınık jeneratörlerin yüksek oranda geleneksel şebekeye dahil edilmesinin neden olduğu mevcut zorluklara iyi bir cevaptır ve akıllı şebekelerin geliştirilmesine katkıda bulunur. Bu tezde, bir AC-DC hibrit mikro şebekenin kontrolü sunulmaktadır. Uygulanan kontrol yöntemi, mikro şebekenin iki ana çalışma modunu (şebekeye bağlı mod ve ada modu) dikkate almaktadır. Şebekeye bağlı modda, kontrol hedefi; popüler değiştir ve gözle (P&O) maksimum güç noktası izleme algoritması kullanılarak, elde edilen mevcut güneş enerjisinin kullanımını optimize etmektir. Sistemdeki güç akışını kontrol etmek için çift yönlü bir AC-DC dönüştürücü tasarlanmıştır. Kontrolör tasarımını kolaylaştırmak için, çift yönlü AC-DC dönüştürücünün çıkış LCL filtresi, Clarke ve Park dönüşümleri kullanılarak senkron eşdeğer koordinatlarında temsil edilmiştir. Senkron çerçevede görünen d ve q eksenleri arasındaki bağımlılığı ortadan kaldırmak için ayrıştırma yöntemi uygulanmıştır. Ada modu durumunda; DC mikro şebeke, şebeke oluşturma modunda ve AC mikro şebeke, şebeke izleyici modunda çalışır. Ada modunda, mikro şebekede enerji kalitesini sağlamak için bir güç yönetim sistemi ve düşüm kontrolü yaklaşımı uygulanmıştır. Simülasyonlar farklı senaryolar için MATLAB/Simulink ortamında gerçekleştirilmiştir. Uygulanan kontrol stratejisinin etkinliği simülasyonlarda elde edilen sonuçlarla gösterilmiştir.
  • [ X ]
    Öğe
    Sliding Mode Control-Based MPPT and Output Voltage Regulation of a Stand-alone PV System
    (Sciendo, 2022) Manuel, Nelson Luis; Inanc, Nihat
    When it comes to reducing emissions caused by the generation of electricity, among different renewable energy sources, the solar energy gains prominence, due to its geographical availability, simplicity of implementation, and absence of physical moving parts. However, the performance of photovoltaic systems is dependent on environmental conditions. Depending on temperature and solar irradiation, the photovoltaic (PV) system has an operating point where maximum power can be generated. The techniques that are implemented to find this operating point are the so-called maximum power point tracking (MPPT) algorithms. Since weather conditions are variable in nature, the output voltage of the PV system needs to be regulated to remain equal to the reference. Most of the existing studies focus either on MPPT or on voltage regulation of the PV system. In this paper, the two-stage PV system is implemented so that both MPPT and voltage regulation are achieved simultaneously. Additionally, an improved version of the perturb and observe (P&O) algorithm based on artificial potential fields (APF), called APF-P&O, is presented. According to the results of the simulations carried out in MATLAB/Simulink software, the APF-P&O method is more efficient than the conventional method.