Sürdürülebilir Kalkınma Amaçları

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Araştırmacılar(4)

• Can, Erol
• Işilak, C.
• Kılıç, Uğur
• Tatli, Ali

• ArticleYalnız künye2026/r/ebyu/18238
  Adaptive hybrid control algorithm for integrated wind-solar energy systems: Enhancing efficiency and minimizing environmental impact

  Can, Erol

  This study introduces a three-tier adaptive control strategy designed for hybrid wind - solar energy systems, with the goal of optimizing energy capture, stabilizing the DC bus voltage, and enhancing overall system performance under varying environmental conditions. The control framework incorporates a TSR-based Maximum Power Point Tracking (MPPT) method for the wind turbine, a temperature-sensitive Perturb-and-Observe (P&O) MPPT for the photovoltaic array, and a real-time energy coordination system that dynamically adjusts the power allocation between wind and solar sources based on their instantaneous availability. A conventional Proportional-Integral (PI) controller manages the DC bus voltage, minimizing fluctuations and ensuring seamless integration with energy storage or the grid. The proposed approach is adaptable to both off-grid and grid-connected microgrids and is computationally efficient for real-time application. Simulation results from four typical scenarios - including high wind/low solar, low wind/high solar, intermittent generation, and balanced generation - show system efficiencies consistently exceeding 92%, along with a substantial reduction in voltage ripple when compared to traditional MPPT techniques. These findings validate the effectiveness of the coordinated control strategy in maintaining power quality, system reliability, and stable energy output, offering a scalable and practical solution for integrating renewable energy into microgrid systems.

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• ArticleYalnız künye2026/r/ebyu/18143
  UAV DC Motor behaviors control using new hybrid PSO-fuzzy logic with a dynamic error based optimization

  Can, Erol

  This study introduces a novel and comprehensive control architecture for DC motor speed regulation in unmanned aerial vehicles (UAVs), leveraging a hybrid Particle Swarm Optimization-Fuzzy Logic (PSO-FL) strategy. UAV platforms inherently exhibit highly nonlinear, time-varying, and uncertain dynamics, which often challenge the efficacy of traditional control techniques such as Proportional-Integral-Derivative (PID) controllers and conventional fuzzy logic systems. To overcome these limitations, a dual-layer PSO-FL controller is proposed, wherein the PSO algorithm is utilized to optimize both fuzzification and defuzzification parameters, thereby enhancing controller adaptability and precision. Moreover, a Centralized Agent Optimization (CAO) framework is integrated to accelerate convergence and improve overall computational efficiency. The proposed controller dynamically adjusts membership functions and rule weights in real time, enabling robust, stable, and rapid system responses even under sudden aerodynamic perturbations and variable payload conditions. Extensive simulation and experimental validations confirm the superior performance of the proposed method over classical PID, PSO-tuned PID, and conventional fuzzy logic controllers, demonstrating faster rise times, reduced overshoot, and minimized steady-state error. These findings significantly advance the development of intelligent UAV control systems by effectively combining swarm intelligence with human-like reasoning methodologies.

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• ArticleYalnız künye2026/r/ebyu/10827
  Hybrid Plasma–GaNSemiconductor Trigger Switch for Ultra-fast High-power Pulsed Applications: a Numerical Study

  Can, Erol

  Abstract: This study presents a numerical investigation of a Hybrid Plasma–Semiconductor Trigger Switch (HPTS) combining a GaN-based driver with a low-pressure pseudo-spark discharge channel. The objective is to evaluate the potential of integrating deterministic semiconductor switching with high-current plasma conduction for pulsed-power applications. A dynamic simulation model was developed to capture the interaction between time-dependent plasma conductivity, GaN driver dynamics, and circuit parasitics. Simulated results indicate that the HPTS can achieve sub-nanosecond jitter (less than 0.5 ns), bidirectional current conduction up to ±17 kA, and current rise rates of 300–400 A/ns. Performance is shown to improve with lower discharge pressures and faster driver rise. Comparative analysis with reported experimental data for thyratron and pseudo-spark switches demonstrates that the simulated HPTS achieves faster switching, higher timing precision, and improved energy transfer efficiency (96–97%). These findings highlight the potential of HPTS architectures for high-speed pulsed-power systems, while clarifying that the reported results are derived from numerical simulations rather than physical experiments.

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• ArticleAçık Erişim2025/r/ebyu/19430
  Runway configuration analysis based on wind data: a case study of warsaw chopin airport

  Sahin, Ozlem; Tatlı, Ali

  Runway configuration at airports is determined based on the prevailing wind direction to ensure the safety of flight operations. In this process, wind direction, crosswind component, and wind coverage are of critical importance. In this study, Warsaw Chopin Airport, which has intersecting runways, is examined. Using 12 years of METAR data for the airport, wind speed, wind direction, and wind coverage were analyzed. Finally, monthly wind contour models were generated for the airport, and the relationship between wind and runway configuration was evaluated seasonally. Based on the wind data from Warsaw Chopin Airport, it was found that the prevailing wind directions are west, northwest, and east-southeast; the average wind direction is 250°, while the maximum and minimum wind directions are 270° and 360°, respectively. Additionally, the wind coverage was calculated as 99.77% with the combined use of the existing intersecting runways, indicating that the current runway configurations are operationally highly sufficient.

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• ArticleAçık Erişim2023/r/ebyu/20219
  A detailed emission analysis between regional jet and narrow-body passenger aircraft

  Kilic, Ugur

  In this study, a comparison in terms of environmental impact is carried out between regional jet and narrow-body passenger aircraft with different Maximum Take-Off Weights (MTOW) and seating capacities considering the fuel burn and emissions. The flight trajectory is selected from Erzincan Yıldırım Akbulut Airport to Ankara Esenboğa Airport and that trajectory is a frequently performed domestic flight between Erzincan and Ankara. Integrated Aircraft Noise and Emissions Modelling Platform (IMPACT) developed by EUROCONTROL is used for the calculation of fuel burn, CO2, H2O, and other gas emissions (NOx, SOx, CO, HC, soot, and other trace compounds) for the per phase of flight. These emissions have an impact on human health, air quality, and the ecosystem, and cause air pollution, climate change, and global warming worldwide. Commercial air-transport-based simulations are created for regional jet and narrow-body passenger aircraft. According to the results, flying with regional jets which have lower MTOW from/to airports such as Erzincan Yıldırım Akbulut Airport, where the passenger density per aircraft is low, provides advantages in terms of fuel burn and emissions. It is expected that this study will serve as a guide for airline operators for fleet selection based on fuel burn and emission parameters.

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• ArticleAçık Erişim2023/r/ebyu/20104
  Travel option-based environmental comparison between passenger aircraft and high-speed rail

  Çam, Ömer; Kilic, Ugur

  The short-haul flights have higher emission values than medium or long-haul flights when emissions per distance are considered. In this study, the potential to reduce greenhouse gas emissions by replacing short-haul flights which carried out by a narrow-body commercial aircraft from/to Konya City in Turkey with regional jets or high-speed trains (HSRs) has been investigated. The flight trajectory is selected from Konya Airport to İstanbul Sabiha Gökçen Airport, and that trajectory is a frequently performed domestic flight between Konya and İstanbul. The IMPACT platform is used for the calculation of fuel burn and gas emissions. According to the results, traveling with regional jets or high-speed trains from/to Konya City which is the most 15th polluted city in Europe, provides advantages in terms of environmental impact. Traveling with HSR which is the best traveling option in this study, provides approximately 3.3 times more green travel than the currently used narrow-body passenger aircraft between Konya and İstanbul. In addition, this mode of transportation can become more environmentally friendly by using renewable energy sources to produce its electricity needs. It is expected that this study will serve as a guide for airline and high-speed rail operators and regulators to determine the most environmentally efficient travel options based on fuel burn and emission parameters.

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• ArticleYalnız künye2023/r/ebyu/19946
  Deep Learning-Based Airspeed Estimation System for a Commercial Aircraft

  Kilic, Ugur

  Airspeed data is so important for an aircraft operation. This study is focused on the estimation of the airspeed data without any additional measurement source such as hardware redundancy. The flight data obtained from a commercial aircraft is processed with a deep learning algorithm, particularly LSTM recurrent neural networks that are developed based on Matrix Laboratory (MATLAB). Correlation analysis is carried out for related data according to a 95% confidence interval for each coefficient in the study to show strong predictor candidates. Data related to the airspeed are processed using Holdout Cross-Validation Technique. According to the results, the designed model achieved an R-squared of 0.9999, a root-mean-squared error of 0.8303 knots, and a standard error of 0.0092 knots. These results show that it is possible to accurately estimate aircraft airspeed data using LSTM recurrent neural network in case of the airspeed data cannot be provided to the flight crew.

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• Proje2023/r/ebyu/19187
  İnsansız Hava Araçları İçin Algılayıcı Arızası Tespiti, Sistemin Yeniden Yapılandırılması Ve İzlenmesi

  Kilic, Ugur; Can, Erol

  İnsansız hava araçları günümüzde fotoğraflama, kişisel, ticari, tarımsal, arama kurtarma, gözetleme, askeri ve diğer birçok alanda çeşitli amaçlarla kullanılmaktadır. Ancak sistem yedeği, arıza tespiti ve ataletsel bilgilerin ekranda gösterimi ve yer istasyonu gibi diğer uçuş sistemlerindeki gelişmiş özellikler, çoğu insansız hava aracında bulunmamaktadır. Bazı insansız hava araçlarına bu özelliklerin çok küçük bir kısmı gömülü halde gelmektedir. Ancak detaylı kontrol ve takip uygulaması için gömülü gelen bu özellikler yeterli olmamaktadır. Bundan dolayı bu projede insansız hava araçlarından özellikle döner kanatlar için bir uçuş izleme sistemi tasarlanması ile bu araçların herhangi bir algılayıcı arızasından dolayı düşmesinin önüne geçilmiş olacaktır ve bu sayede daha doğru bir kontrol sağlanırken, özellikle hava aracı üzerindeki pahalı kamera ve çekim sistemleri gibi faydalı yükler korunacaktır. Proje dahilinde alınan hava aracı belirli uçuş durumlarında uçurularak uçuş verileri toplanmıştır. Ardından her bir algılayıcıyı (cayro, ivme ve GPS) etkileyen veriler formülasyon ve korelasyon analizi ile bulunmuştur. Elde edilen verilere göre her bir algılayıcı için Matlab yazılımında Yapay Sinir Ağları modeli oluşturulmuştur ve verilerin bir kısmı ile model eğitilirken, verilerin geri kalan kısımları ile test işlemleri gerçekleştirilmiştir. Korelasyonlu veriler makine öğrenmesi yönteminin girişini oluştururken incelenen algılayıcı değeri tahmin edilen sistem çıkışını oluşturmuştur. Algılayıcı arızaları için analitik hesaplar yapılarak bulunan alternatif veri sisteminin devreye alınması ile çözüme gidilmiştir. Hava aracının daha doğru ve güvenli bir biçimde kontrol edilebilmesinin yanı sıra arıza durumları, hava aracının hareketleri ve ilgili tüm parametreler LabVIEW yazılımında tasarlanan yer istasyonu yazılımıyla ekrandan anlık olarak takip edilmiştir.

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• ArticleYalnız künye2022/r/ebyu/18144
  A new multi-level inverter with reverse connected dual dc to dc converter at simulation

  Can, Erol

  It is very important to drive loads and control the electrical devices with changing electrical energy levels and change a voltage form. While DC-DC converters are used to change the value level of direct current (DC) electrical energy, inverters are used to change its form such as alternating voltage. Unlike these studies in the literature, for the first time, dc-dc converters are used to a new device structure to convert dc electrical energy into alternating current (AC) electrical energy and they can also change an amplitude of the multi-level voltage. So, the paper presents a multi-level inverter with reverse connected dual dc to dc converter. Firstly, the circuit structure and the signals that control the circuit are given and the operating logic is explained. Then, the proposed circuit is gradually modeling in MATLAB Simulink. After that, the circuit is operated in MATLAB Simulink and its performance is measured. According to the results obtained, the new circuit structure gives highly successful results.

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• ArticleAçık Erişim2020/r/ebyu/17903
  Application of Adaptive Neuro-Fuzzy Logic Method of Noised Electrical Signals for Correction

  Can, Erol

  In this article, the correction of the distorted electrical signal with an adaptive neural fuzzy logic (ANFIS) is discussed due to noise forming at the electrical signal. A sinusoidal signal is widely used both in load supply and in modulation techniques for control and information transport. While the deterioration in a structure of the sinusoidal signal causes energy losses on the power system, it also causes damage to the control signals in the circuit and information transmission signals in telecommunication. Therefore, after considering the structure of the pure reference signal equation, a noise that can occur in the sine structure is included in the reference signal structure. So, an interference signal is formed with the unknown nonlinear process from another noise source for creating the information signal because of an interference signal needs. After an interference signal is generated, the measuring signal is given in the sum of the pure reference signal and the interference signal. For the correction stage of the signals, at inputs of the adaptive fuzzy logic system in the Matlab toolbox, the source signal with noise and the measuring signal values are entered. Then, the experiment is performed via a 3-triangular membership function. When the results are observed, it is seen that the signal which is distorted after the correction operations is very close to the reference signal.

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