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Öğe Real Time Faults Transformer Protection System by Using Integrated Microcontroller(Institute of Electrical and Electronics Engineers Inc., 2023) Taha, Taha A.; Bektaş, Yasin; Mahmood, Noof T.; Hussain, Abadal-Salam T.; Ahmed, Ömer K.Fault protection is a crucial aspect of power systems, particularly in cases where faults occurring in distribution transformers can have severe implications for customers. However, it is not feasible to equip every distribution transformer with a monitoring system due to the high installation costs and the complexities associated with integrating them into the existing communication network. This study addresses this challenge by modeling the distribution network as a simplified single-phase electrical system and developing a controller that utilizes a PIC18F458 microcontroller. The primary objective of this controller is to provide both protection and onsite monitoring capabilities. Through simulation results, it has been demonstrated that the protection system, which is based on the PIC microcontroller, effectively safeguards against faults such as over-current, overvoltage, and under-voltage. This successful outcome highlights the ability of the developed system to mitigate potential hazards and ensure the reliability of the distribution transformer, benefiting the customers it serves.Öğe Red deer algorithm based harmonic mitigation for asymmetric cascaded multilevel inverters(Institute of Electrical and Electronics Engineers Inc., 2022) Bektaş, Yasin; Karaca, HulusiThis study aims to find the optimum switching angles in an asymmetric cascaded H-bridge multilevel inverter (CHB-MLI) powered by photovoltaic (PV) panels. Red Deer Algorithm (RDA), a newly developed algorithm, has been applied to solve the selective harmonic elimination (SHE) equations. The calculated switching angles are used to obtain a 19-level output voltage using only 3 different amplitude DC sources and 3 H-bridge modules in Matlab/Simulink. The simulation results show that the RDA can accurately and quickly suppress selected harmonics while controlling the fundamental voltage with less than 0.06% error in the modulation index range of 0.2 to 1.0. The proposed RDA optimization has eliminated the selected harmonics without complex analytical calculations and reduced the total harmonic distortion.Öğe Experimental investigation of the effect of mass load on flight performance of an octorotor and dodecarotor UAV(Springer Science and Business Media Deutschland GmbH, 2022) Yıldırım, Şahin; Çabuk, Nihat; Bakırcıoğlu, VeliIn this study, the flight performance of a universal Vertical take-off and landing (VTOL) unmanned aerial vehicle (UAV) with 12 and 8 rotors was examined under load and no-load conditions. Thanks to its universal structure, experimental studies with 8 and 12 rotor UAVs were performed on the same platform and under the same conditions. In addition, the controller parameters were kept the same for both vehicle types in order to observe the effect of the mass load only. Hierarchical PID controllers are used as the controller architecture to control the orientation and position of the both vehicles. The flight performance of both vehicles was examined in three stages as take-off, trajectory and landing. Settling time, rise time parameters and position errors were used to benchmark the flight performance of the both vehicles. The results show that the performance of the 12-rotor vehicle is superior, especially in terms of trajectory tracking performance although the take-off and landing performance is very close to each other for both vehicles. This was observed more clearly under load conditions.Öğe Energy, exergy and environmental analyses of biomass gasifier combined integrated plant(Springer, 2020) Yılmaz, Fatih; Öztürk, MuratThe fundamental purpose of this chapter is to examine a novel renewable energy supported combined plant. The suggested chapter occurs with biomass gasifier unit, gas turbine system, Rankine cycle, single-effect absorption cycle, hydrogen generation unit, dryer cycle, and hot-water production unit. This chapter is designed and developed for useful outputs, such as heating, cooling, electricity, hydrogen, drying and hot water with a single biomass energy input. In this context, detailed energy and exergy efficiency, and also environmental effect analyses are carried out with Engineering Equation Solver software. The effects of environment and gasification temperatures and biomass mass flow rate changes on the plant performance and on carbon emissions are investigated and presented as graphs. Results display that the energetic and exergetic efficiency of integrated plant are found as 63.84 and 59.26%. Also, the overall hydrogen generation and exergy destruction rate are 0.068 kg/s and 52,529 kW, respectively.Öğe Adaptive neural-network based fuzzy logic (ANFIS) based trajectory controller design for one leg of a quadruped robot(Association for Computing Machinery, 2016) Bakırcıoğlu, Veli; Şen, Muhammed Arif; Kalyoncu, MuhammedIn this paper, a hybrid learning algorithm referred to as Adaptive Neuro Fuzzy Inference System (ANFIS) is used to obtain a neural-network based fuzzy logic (NNFL) controller to ensure walking in desired trajectory of the one leg of a quadruped robot. Firstly, Computer aided model drawing (CAD) model of system is converted into the Simulink/SimMechanics and PID controllers applied to the system Then, input and output data are obtained from PID controller set up training and checking data sets of the ANFIS. After trained network in the MATLAB/Fuzzy Logic Toolbox, NNFL controllers is acquired and applied to the system. PID controls and NNFL controllers are simulated in the MATLAB/Simulink and compared with each other according their performances in the trajectory tracking. The Simulation results are presented in graphical form to investigate the controllers. © 2016 ACM.Öğe Performances comparison of the bees algorithm and genetic algorithm for PID controller tuning(Association for Computing Machinery, 2016) Şen, Muhammed Arif; Bakırcıoğlu, Veli; Kalyoncu, MeteThe inverted pendulum system is a classical benchmarking problem which is used to compare of optimization algorithms in the design of the controller. This paper presents the design of PID controllers for Inverted Pendulum (IP) system using The Bees Algorithm (BA) and Genetic Algorithm (GA) both of which are two evolutionary heuristics are population-based search methods. The main goal of the study is get optimal gains for PID controllers based on the two different tuning algorithm to balance the pendulum in upright stable position while moving the cart to a desired input. The optimization aim is to minimize of the objective function which includes the time domain responses of the cart's position and the pendulum's angle. To comparison the performances of the BA and GA, algorithms are run on the nonlinear model of the system which is designed in MATLAB/Simulink/SimMechanics. The effectiveness comparison of the BA and GA is implemented using the responses of system controlled by PID controllers with tuned gains. The obtained simulation results indicate that the BA and GA approaches have similar performances in this study and both of them had better performance compared to traditional methods. © 2016 ACM.Öğe Optimization of PID controller based on the Bees Algorithm for one leg of a quadruped robot(EDP Sciences, 2016) Bakırcıoğlu, Veli; Şen, Muhammed Arif; Kalyoncu, MeteIn this paper, we apply The Bees Algorithm to find optimal PID controller gains to control angular positions of robot leg joints with the minimum position error. In order to present more realistic simulation, system modelled in MATLAB/Simulink environment which is close to experimental set up. Solid model of system, which has two degrees of freedom, drawn by using a CAD software. Required physical specifications of robot leg for MATLAB/Simulink modelling is obtained from this CAD model. Controller of the system is designed in MATLAB/Simulink interface. Simulation results derived to show effectiveness of The Bees Algorithm to find optimal PID controller gains. © 2016 Owned by the authors, published by EDP Sciences.Öğe Comparative thermodynamic performance assessment of two-stage cycle for various refrigerants(Inderscience Enterprises Ltd., 2019) Yılmaz, Fatih; Öztürk, Murat; Selbaş, ReşatIn this paper, the thermodynamic performance evaluations of the two-stage cooling cycle are investigated comparatively for different refrigerants under the same operating conditions. Due to their environmentally friendly properties, CO2, R600, R600a, R161, and R134a are selected as the refrigerants. The change in energy performance coefficient (COPen) and exergy performance coefficient (COPex) of the defined cycle are investigated according to the various indicators, such as reference temperature, gas cooler outlet temperature and pressure. Results are shown that, at the evaporator temperature of -5°C and the gas cooler outlet temperature of 40°C, the COPen of the cooling cycle are 1.644, 1.603, 1.452, 2.0356 and 1.928 for the refrigerants CO2, R600, R600a, R161 and R134a, respectively. Furthermore, COPex of the cycle are computed as 25.94%, 15.57%, 14.07%, 19.73% and 18.68% for the same refrigerants in the same order. In addition, the overall exergy destruction rate of the cooling cycle for CO2 refrigerant is calculated as 145.69 kW. © 2019 Inderscience Enterprises Ltd.
