Yazar "Yeroglu, Celaleddin" seçeneğine göre listele
Listeleniyor 1 - 20 / 71
Sayfa Başına Sonuç
Sıralama seçenekleri
Öğe 2DOF multi-objective optimal tuning of disturbance reject fractional order PIDA controllers according to improved consensus oriented random search method(Elsevier, 2020) Ozbey, Necati; Yeroglu, Celaleddin; Alagoz, Baris Baykant; Herencsar, Norbert; Kartci, Aslihan; Sotner, RomanThis study presents a Fractional Order Proportional Integral Derivative Acceleration (FOPIDA) controller design methodology to improve set point and disturbance reject control performance. The proposed controller tuning method performs a multi-objective optimal fine-tuning strategy that implements a Consensus Oriented Random Search (CORS) algorithm to evaluate transient simulation results of a set point filter type Two Degree of Freedom (2DOF) FOPIDA control system. Contributions of this study have three folds: Firstly, it addresses tuning problem of FOPIDA controllers for first order time delay systems. Secondly, the study aims fine-tuning of 2DOF FOPIDA control structure for improved set point and disturbance rejection control according to transient simulations of implementation models. This enhances practical performance of theoretical tuning method according to implementation requirements. Thirdly, the paper presents a hybrid controller tuning methodology that increases effectiveness of the CORS algorithm by using stabilizing controller coefficients as an initial configuration. Accordingly, the CORS algorithm performs the fine-tuning of 2DOF FOPIDA controllers to achieve an improved set point and disturbance rejection control performances. This fine-tuning is carried out by considering transient simulation results of 2DOF FOPIDA controller implementation model. Moreover, Reference to Disturbance Ratio (RDR) formulation of the FOPIDA controller is derived and used for measurement of disturbance rejection control performance. Illustrative design examples are presented to demonstrate effectiveness of the proposed method. (C) 2020 The Authors. Published by Elsevier B.V. on behalf of Cairo University.Öğe Adaptive protection method with fault current limiting mechanism for directional over current relays coordination problem(Gazi Univ, Fac Engineering Architecture, 2022) Yeroglu, Celaleddin; Akdag, OzanCoordination of Directional Over Current Relays (DOCR) is an important issue in the protection of power systems. In this paper, DOCR coordination, which has the problem of nonlinear and high constraints, is discussed The object function, reported in the literature, has been re-written by adding relay setting constraints multiplied by a weight factor to ensure optimum coordination of DOCRs. At first, the Evaporation Rate Controlled Water Cycle Algorithm (ER-WCA) and Harris Hawk Optimization (HHO) algorithms were used to compute the optimum coordination of the DOCR problem. The proposed algorithms are applied to the 9-bus test system. In addition, the results obtained using ER-WCA and HHO were compared with those obtained using other algorithms in the literature. Then, a new adaptive protection method, which adapts to changing power system conditions in power grids with Distributed Generation (DG) system, is proposed. In this new adaptive protection method, the HHO algorithm has been used to ensure optimum coordination of DOCRs. Also, in this new adaptive protection method, a structure with Fault Current Limiting (FCL) mechanism, which determines the critical fault point based on the both of the current and voltage index, is proposed in power systems. Then, by applying this new adaptive protection method to 10 bus Turkey distribution system, the effectiveness of the study was discussed.Öğe Analysis of Fractional Order Polynomials Using Hermite-Biehler Theorem(Ieee, 2014) Senol, Bilal; Yeroglu, Celaleddin; Tan, NusretThis paper presents some results for stability analysis of fractional order polynomials using the Hermite-Biehler theorem. The possibilities of the extension of the Hermite-Biehler theorem to fractional order polynomials is investigated and it is observed that the Hermite-Biehler theorem can be an effective tool for the stability analysis of fractional order polynomials. Variable changing has been applied to the fractional order polynomial to transform it into an integer order one. Roots of this polynomial are found and verified with the roots obtained using the Hermite-Biehler theorem. Stability analysis has been done investigating the interlacing property of the polynomial. Results are verified with the Radwan procedure. The method is clarified via illustrative examples.Öğe Artificial Immune System Optimization Based Duplex Kinect Skeleton Fusion(Ieee, 2017) Gunduz, Ali Fatih; Sen, Mehmed Oguz; Karci, Ali; Yeroglu, CelaleddinHuman motion tracking, which requires both motion sensing hardware and algorithms based on computer vision, is an enjoyable and active research area with diverse applications. As a depth sensor device Kinect is a famous hardware component for this task. In this work, we studied using more than one Kinect camera to obtain better motion tracking which is applicable for motion capture. We synthetically created two camera data from one and then focused on de-noising and fusing these data in order to obtain more realistic skeleton joint coordinates. Artificial Immune System (AIS) optimization algorithm is suggested and used for this task. As a result we obtained 30% better fusion results from noisy synthetic data. Our results showed that AIS is a promising algorithm for obtaining optimal joint coordinates in the fusion of multiple Kinect skeleton data.Öğe Auto-tuning of PID controller according to fractional-order reference model approximation for DC rotor control(Pergamon-Elsevier Science Ltd, 2013) Alagoz, Baris Baykant; Ates, Abdullah; Yeroglu, CelaleddinThis paper presents a stochastic, multi-parameters, divergence optimization method for the auto-tuning of proportional-integral-derivative (PID) controllers according to a fractional-order reference model. The study aimed to approximate the step response of the real closed-loop flight control system to the response of a theoretical reference model for a smoother and more precise flight control experience. The proposed heuristic optimization method can auto-tune a PID controller without a precise plant model. This is very advantageous when dealing with model and parameter uncertainties in real control application and practice. Experimental study confirms the reference model driven auto-tuning of the DC rotor prototype. (C) 2013 Elsevier Ltd. All rights reserved.Öğe Cat Swarm Based Shadow Detection Method(Ieee, 2018) Firildak, Kazim; Karaduman, Mucahit; Talu, Muhammed Fatih; Yeroglu, CelaleddinInnovations brought by developing technology are used in different forms in security area. Those technologies on imaging are usually involved in monitoring, tracking and detecting. When these processes are performed, the shadow of the object can prevent detection and monitoring. Therefore, in this study, a method has been proposed to determine the shadows of the objects and to distinguish them from the original image, and to determine the real image of the object. Previous work on this area has been done using classic shadow detection methods. In order to overcome their disadvantages during the detection period, this study uses cat swarm optimization, which can be applied to many problems. With this method, the shadows belonging to the object are detected, and the objects are determined by separating the shadows from the image. Later, if desired, follow-up of the object will also be achieved. It is shown that the suggested cat swarm optimization algorithm provides an effective result in shadow detection and give better results with shadow detection rate over compared algorithms.Öğe Classical controller design techniques for fractional order case(Elsevier Science Inc, 2011) Yeroglu, Celaleddin; Tan, NusretThis paper presents some classical controller design techniques for the fractional order case. New robust lag, lag-lead. PI controller design methods for control systems with a fractional order interval transfer function (FOITF) are proposed using classical design methods with the Bode envelopes of the FOITF. These controllers satisfy the robust performance specifications of the fractional order interval plant. In order to design a classical PID controller, an optimization technique based on fractional order reference model is used. PID controller parameters are obtained using the least squares optimization method. Different PID controller parameters that satisfy stability have been obtained for the same plant. (C) 2011 ISA. Published by Elsevier Ltd. All rights reserved.Öğe Computation of Limit Cycles in Nonlinear Feedback Loops with Fractional Order Plants(Ieee, 2014) Atherton, Derek P.; Tan, Nusret; Yeroglu, Celaleddin; Kavuran, Gurkan; Yuce, AliThe paper deals with an aspect of the analysis of nonlinear feedback control systems with a fractional order transfer function. A review of the classical describing function (DF) method is given and its application to a control system with a fractional order plant is demonstrated. Unlike the DF method the frequency domain approach of Tsypkin is known to give exact results for limit cycles in relay systems and it is shown that this approach extends to systems with fractional order transfer functions. The formulation is done in terms of A loci which are related to and more general than the Tsypkin loci. Programs have been developed in MATLAB to compute the limit cycle frequency and also to show the results graphically. Examples are provided to illustrate the approach for a relay with no dead zone.Öğe COVID-19 and human development: An approach for classification of HDI with deep CNN(Elsevier Sci Ltd, 2023) Kavuran, Gurkan; Gokhan, Seyma; Yeroglu, CelaleddinThe measures taken during the pandemic have had lasting effects on people's lives and perceptions of the ability of national and multilateral institutions to drive human development. Policies that changed people's behavior were at the heart of containing the spread of the virus. As a result, it has become a systemic human development crisis affecting health, the economy, education, social life, and accumulated gains. This study shows how the relationship of the Human Development Index (HDI), which has combined effects on health, education, and the economy, should be considered in the context of pandemic factors. First, COVID-19 data of the countries received from a public and credible source were extracted and organized into an acceptable structure. Then, we applied statistical feature selection to determine which variables are closely related to HDI and enabled the Deep Con-volutional Neural Network (DCNN) model to give more accurate results. The Continuous Wavelet Transform (CWT) and scalogram methods were used for the time-series data visualization. Three different images of each country are combined into a single image to penetrate each other for ease of processing. These images were made suitable for the input of the ResNet-50 network, which is a pre-trained DCNN model, by going through various preprocessing processes. After the training and validation processes, the feature vectors in the fc1000 layer of the network were drawn and given to the Support Vector Machine Classifier (SVMC) input. We achieved total performance metrics of specificity (88.2%), sensitivity (96.5%), precision (99%), F1 Score (94.9%) and MCC (85.9%).Öğe Detection of RR Interval Alterations in ECG Signals by Using First Order Fractional Filter(Ieee, 2016) Alagoz, Baris Baykant; Yeroglu, Celaleddin; Kavuran, Gurkan; Ates, AbdullahSleep apnea syndrome deteriorates sleeping quality and daily performance of many individuals. This study presents utilization of fractional-order low pass filtering for the detection of RR interval alteration from electrocardiogram (ECG) signals. In the case of sleeping apnea, cardiac interbeat intervals prolong and it is viewed as an indication of obstructive sleep apnea state. The prolonged interbeat intervals manifest themselves as the decrease of R peak frequency (increase of RR intervals) in ECG signals. It results in shifting of spectral components composing R peaks towards lower frequencies in energy signal of ECG. In order to detect prolonging interbeat intervals, energy signal calculated from ECG is applied to low-pass fractional-order filter. Transition band of the low-pass filter is used as a ramp filter in order to detect frequency variations in the energy of R peaks. We compare results of the first order fractional-order and integer order low-pass filters and demonstrate that the fractional-order filter can improve the detection performance of low-pass filtering by modifying transition band slope of low-pass filters.Öğe Development of a Toolbox for Frequency Response Analysis of Fractional Order Control Systems(Ieee, 2009) Yeroglu, Celaleddin; Tan, NusretThe paper presents development of a program in the MATLAB for the analysis of Fractional Order Control Systems (FOCS). Using this program, frequency response plots such as Nyquist plot, Bode plots and Nichols plot can be obtained. Gain and phase margins of FOCS can be estimated and suitable controller can be designed for the related control system.Öğe Development of CNN architecture for Honey Bees Disease Condition(Ieee, 2019) Uzen, Huseyin; Yeroglu, Celaleddin; Hanbay, DavutHoney bees are one of the most important pollinators for a wide range of products in the food chain. Today, with the help of developing technology, observing bees healthy controls is a very important field of study. In this study, the images taken in the natural environment of the bees were processed with Convolutional Neural Network (CNN) architecture and the health status of the bees were classified The results obtained were promising for the studies to be carried out in this area. In addition, the structure of the CNN architectures was studied and the CNN architectures with different types and number of layers were compared with each other. As a result of the comparison, using the ideal number of convolution layers instead of using a great number of convolution layers for CNN architectures, increases the success. In addition, the use of normalization layers that serve as supporters in CNN architectures has been found to be very important for increasing success. In this study, 5 different CNN architectures were developed and the classification results obtained with these architectures were analyzed Among the architectures developed, KM_1 network architecture has achieved the best results with a success rate of 92,42.Öğe Disturbance Rejection Effect of PIDA Controller Designed via SOS Algorithm(Ieee, 2018) Karadeniz, Esra; Ozbey, Necati; Yeroglu, Celaleddin; Kahraman, H. TolgaIn this work, proportional-integral-derivative-acceleration (PIDA) controller is designed by using Symbiotic Organisms Search (SOS) algorithm and its robustness against the input disturbance is investigated. In the study, SOS algorithm and performance evaluation of control system are carried out by means of simulation models that are implemented in Matlab/Simulink environment. In this simulation environment, mean square error function of the system is minimized by SOS algorithm to tune PIDA controller coefficients. The PIDA controller is compared with a control system presented in literature and robustness of the PIDA against the disturbance are shown.Öğe DISTURBANCE REJECTION FOPID CONTROL OF ROTOR BY MULTI-OBJECTIVE BB-BC OPTIMIZATION ALGORITHM(Amer Soc Mechanical Engineers, 2017) Ates, Abdullah; Alagoz, Baris Baykant; Yeroglu, Celaleddin; Yuan, Jie; Chen, YangQuanThis paper presents a FOPID tuning method for disturbance reject control by using multi-objective BB-BC optimization algorithm. Proposed method allows multi-objective optimization of set-point performance and disturbance rejection performances of FOPID control system. The objective function to be minimized is composed of the weighted sum of MSE for set-point performance and RDR for disturbance rejection improvement. The proposed optimization performs maximization of RDR and minimization of MSE and it can deal with the tradeoff between RDR performance and step-point performance. Application of the method is shown for auto tuning of FOPID controller that is employed for control of TRMS model. We observed that low-frequency RDR indices can be used to improve disturbance rejection performance in multi-objective controller tuning problems. Particularly, for flight control application, disturbance reject control is very substantial to robust performance of propulsion systems.Öğe An evaluation of an offshore energy installation for the Black Sea region of Turkey and the effects on a regional decrease in greenhouse gas emissions(Wiley Periodicals, Inc, 2020) Akdag, Ozan; Yeroglu, CelaleddinOffshore wind power plants (OWPPs), which are not yet installed in Turkey, are becoming a popular method of energy production around the world because of their environmentally friendly nature. Thus, the installation of OWPPs should be an important agenda item in terms of Turkey's renewable energy policies as a contribution to the global greenhouse gas emission targets. This study proposes a model for installing OWPPs in a suitable part of the Black Sea region of Turkey and simulates the results. The suitable locations for OWPP installation were evaluated according to the technical and geographical conditions of this region and site criteria. Meteorological data from these locations were analyzed in the Wind Atlas Analysis and Application Program (WAsP) to determine the best location. In this study, an OWPP model with a 204.6 MW installed power capacity was proposed for the identified location, which has a wind speed of 8.77 m s(-1) and a wind power density of 348 W m(-2). Then, an OWPP model and regional energy transmission system was modeled using DigSilent software. The load flow analysis was performed using this model, and the results show that 7616 tons of toxic gas and 1.527 million tons of greenhouse gas could be reduced in the region in a year if the proposed OWPP were put into operation. Thus, with the installation of OWPP, this study shows that annual CO2 emissions can be reduced by 7.63% for the entire Black Sea region. (c) 2020 Society of Chemical Industry and John Wiley & Sons, Ltd.Öğe An experimental investigation for error-cube PID control(Sage Publications Ltd, 2015) Alagoz, Baris Baykant; Ates, Abdullah; Yeroglu, Celaleddin; Senol, BilalThis experimental study investigates the practical benefits and drawbacks of error-cube control for closed-loop PID control structures. The error-cube control approach employs the cube power of the error signal for controllers and this causes variability in control characteristics due to the non-linearity of the cube power operation. The error-cube signal introduces attenuated and magnified error regions. These two characteristic error regions result in a tight control regime and a slack control regime, depending on magnitude of the error signal. The study presents a discussion on non-linear error signals in a practical aspect and demonstrates the effects of non-linear error signals on the step response of closed-loop PID control systems via simulation results and experimental measurements. An enhanced error-cube controller was proposed to improve the control performance of the error-cube control and results are discussed.Öğe An Experimental Study on Model Reference Adaptive Control of TRMS by Error-Modified Fractional Order MIT Rule(Romanian Soc Control Tech Informatics, 2017) Kavuran, Gurkan; Ates, Abdullah; Alagoz, Baris Baykant; Yeroglu, CelaleddinModel Reference Adaptive Control (MRAC) strategies find application in flight control because of changes in dynamics of flight conditions. This paper demonstrates an application of Fractional Order Adjustment Rule MRAC (FOAR-MRAC) with the modification of model error dead zone for adaptive control of Twin Rotor Multi-input multi-output System (TRMS). Here, we implement FOAR-MRAC structure with feedforward and feedback MIT rules by using a fractional order integrator. Previously, Vinage et al. have reported that MIT with fractional order integrator can improve tracking performance of MRAC. In the current experimental study, we modified model approximation error by using a piecewise linear, near-zero dead zone function and manage stability of adaptation process in practical application. Accordingly, when the control system response approximates to response of reference model, adaptation process is interrupted. This modification improves quasi-stabilization of updating rule by omitting low level errors and contributes to applicability of MRAC in real applications. An adaptive PID rotor control system is developed by integating the proposed FOAR-MRAC structure. Simulation and experimental results, obtained for TRMS setup, are presented to show effectiveness of the proposed method.Öğe Filter Approximation and Model Reduction Comparison for Fractional Order Systems(Ieee, 2014) Senol, Bilal; Yeroglu, CelaleddinThis paper presents a comparison study for filter approximations and model reduction techniques for control systems of fractional orders. Oustaloup's recursive filter and a refined Oustaloup's filter are represented to obtain higher integer order approximations of fractional order systems. Then these higher integer order systems are exposed to model reduction with some existing techniques preserving some of the dominant eigenvalues. Original system and reduced order systems are compared on a Bode diagram and average errors of the reduced systems are computed. Then, a Matlab toolbox is developed which one can easily enter the fractional order system and apply filter approximations and model reductions. Average errors of each technique for desired fractional order system can be computed using the toolbox. Thus, this study is thought to be useful for the related area of research.Öğe Fine-Tuning of Feedback Gain Control for Hover Quad Copter Rotors by Stochastic Optimization Methods(Springer International Publishing Ag, 2020) Ates, Abdullah; Alagoz, Baris Baykant; Kavuran, Gurkan; Yeroglu, CelaleddinThree degree of freedom (3 DOF) Hover Quad Copter (HQC) platforms are implemented for various missions in diverse scales from the micro to macro platforms. As HQC platforms scale down, micro platform requires rather robust and effective control techniques. This study investigates applicability of some stochastic optimization methods for tuning feedback gain control of HQC rotors and compares optimization results with results of linear quadratic regulator (LQR) method that has been widely used analytical method for optimal feedback gain control of HQCs. This study considers the utilization of two stochastic methods for tuning of HQCs. These methods are stochastic multi-parameter divergence optimization method (SMDO) and discrete stochastic optimization method (DSO). These methods are employed to optimize feedback gain coefficients of an experimental HQC test platform. Simulation and experimental results of SMDO and DSO methods are reported and compared with results of LQR method.Öğe FOPID Controllers and Their Industrial Applications: A Survey of Recent Results(Elsevier, 2018) Tepljakov, Aleksei; Alagoz, Baris Baykant; Yeroglu, Celaleddin; Gonzalez, Emmanuel; HosseinNia, S. Hassan; Petlenkov, EduardThe interest towards using Fractional-order (FO) PID controllers in the industry is mainly fueled by the fact that these controllers have two additional tuning knobs that can be used to adjust the control law in a way that would benefit the control loop. However, there are certain points that are rarely addressed in literature, namely: (1) What are the particular advantages (in concrete numbers) of FOPID controllers versus conventional, integer-order (IO) PID controllers in the light of complexities arising in the implementation of the former? (2) For real-time implementation of FOPID controllers, approximations are used that are equivalent to high order linear controllers. What, then, is the benefit of using FOPID controllers? In the present paper, we attempt to address these issues by reviewing recent literature in the field and by providing relevant analysis and recommendations. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
