Yazar "Metin, Nuri Alper" seçeneğine göre listele

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    Collective Blade Pitch Angle Control with PID and Fuzzy Logic Controller
    (Kırıkkale Üniversitesi, 2022) Lüy, Murat; Metin, Nuri Alper; Civelek, Zafer
    Generators for wind turbines with variable speeds are more potent than those with set speeds. However, the variable speed machine's voltage and frequency shift as a result of erratic wind speed. A proper control method raises the power's quality. The dynamic properties of the combined wind generator system must be researched in order to regulate the fluctuating wind generator output when it is employed in the system. More dynamic performance can be achieved by designing better controllers. Pitch angle control was carried out in this study's wind turbine design using the MATLAB/Simulink environment Pitch angle control is accomplished using PID and a fuzzy logic controller (FLC). The simulation research looked at these control techniques, the amount of oscillation in the reference power value, the duration to achieve the reference value, and the variations in blade pitch angle.
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    Comparison of The Perturb and Observe, Increased Conductivity and Particle Swarm Optimization Algorithms for Maximum Power Point Tracking in Photovoltaic Systems
    (Kırıkkale Üniversitesi, 2021) Lüy, Murat; Türk, Fuat; Metin, Nuri Alper
    With the increasing world population, the interest in renewable energy sources has increased in order to reduce the decrease in petroleum and its derivatives products used for energy production, and to minimize the damage caused by gases such as carbon monoxide and methane gas, which are produced as waste from these products. Examples of renewable energy sources are wind, fuel cell and solar panels. In the article study, in solar panel systems, Maximum Power Point Tracking (MPPT) with Direct Current (DC) converter and The Perturb and Observe (P and O), Increasing Conductivity and Particle Swarm Optimization (PSO) algorithms were designed in MATLAB/Simulink environment and simulation studies at variable radiation values has been carried out. As a result of the simulation studies, it has been observed that the PSO MPPT algorithm oscillates less at the variable radiation values at the maximum power point and reaches the maximum power point faster than the P and O and Increasing Conductivity algorithms.
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    Feature Selection in the Diabetes Dataset with the Marine Predator Algorithm and Classification using Machine Learning Methods
    (2024) Türk, Fuat; Metin, Nuri Alper; Lüy, Murat
    Diabetes, which is classified as one of the leading causes of mortality, is a chronic and intricate metabolic disorder defined by disruptions in the metabolism of carbohydrates, fats, and proteins. Type 1 diabetes is categorized alongside Type 2 diabetes, as well as other distinct kinds of diabetes, including gestational diabetes. Complications, both acute and chronic, manifest in individuals with diabetes due to diminished insulin secretion and disruptions in the metabolism of carbohydrates, fats, and proteins. Following the completion of the data preparation step, the diabetes dataset that was collected from Kaggle is then sent to the feature extraction module for analysis. After the optimization process has been completed, the feature selection block will determine which characteristics stand out the most. The selected traits discussed before are sorted into several categories using the categorization module. The findings are compared to those that would have been obtained if the marine predator optimization algorithm (MPOA) technique had not been carried out, specifically regarding metrics like the F1 score, Recall, Accuracy, and Precision. The findings indicate that the LR classification approach achieves an accuracy rate of 77.63% without property selection. However, when the characteristics are selected using the MPOA, the accuracy rate increases to 79.39%.
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    Maximum Power Point Tracking with Incremental Conductance and Fuzzy Logic Controller in Solar Energy Systems
    (TUBITAK, 2024) Lüy, Murat; Metin, Nuri Alper; Civelek, Zafer
    Energy benefits both individuals and nations. Humanity’s reliance on fossil fuels and inability to respond increases depletion. Energy supplies are rapidly decreasing. Electricity use causes the energy crisis. Sustainable energy essentially meets the energy demand of the growing population. In addition, it benefits the environment by reducing carbon emissions. In this situation, sustainable energy sources have supplemented traditional energy sources and promoted sustainable energy use. Solar, wind, and fuel cell energy are examples of sustainable energy. Power-generating facilities are employed nowadays because of their extended lifespan, inexpensive maintenance, no hazardous waste, and independence from dwindling energy sources. Solar power generation depends on environmental circumstances; hence MPP generation must be observed. MPPT follows the solar panel’s highest MPP. This study involves a system comprised of a DC-DC boost converter, a PV panel, and an ohmic load. The IC and FLC MPPT algorithms generate the duty ratio, and the PWM signal is generated by comparing it with the triangle wave. This generated signal is applied to the DC-DC boost converter. This research investigates the effectiveness, variability, and duration required to attain the MPP of the implemented MPPT methods. The system has been developed within the Matlab/Simulink framework. Based on the simulation findings, it has been determined that the FLC MPPT algorithm achieves the MPP faster than the IC MPPT algorithm. Consequently, the fluctuation level is minimal, and the efficiency is high. © 2024, TUBITAK. All rights reserved.
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    Optimization of Servo Motor Control in Underwater Vehicles with PSO
    (Kırıkkale Üniversitesi, 2022) Yılmaz, Zahide Nur; Metin, Nuri Alper; Lüy, Murat
    Today, unmanned surface vehicles (USV) are defined as underwater robots designed as autonomous or semi-autonomous robots and equipped with technological elements. These versatile smart vehicles have the ability to detect, make decisions, and set up mobility. USVs strengthened with technological equipment; They are used in sea surface and dredging, mapping, underwater pipeline laying, scientific research and military missions. In addition, they also undertake tasks such as carrying fuel to submarine vehicles known as manned or meeting their battery needs. In this study, the servo motor speed control of the USV structure was carried out with a PID controller in the MATLAB / Simulink environment. PID controller coefficients were calculated primarily with Ziegler-Nichols. Secondarily, it is optimized with Particle swarm optimization (PSO). According to this method in the system, its approach to the reference speed value, its oscillation and control were examined.