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Öğe Embedded System Design and Implementation of an Intelligent Electronic Differential System for Electric Vehicles(Science & Information Sai Organization Ltd, 2017) Uysal, Ali; Soylu, EmelThis paper presents an experimental study of the electronic differential system with four-wheel, dual-rear in wheel motor independently driven an electric vehicle. It is worth bearing in mind that the electronic differential is a new technology used in electric vehicle technology and provides better balancing in curved paths. In addition, it is more lightweight than the mechanical differential and can be controlled by a single controller. In this study, intelligently supervised electronic differential design and control is carried out for electric vehicles. Embedded system is used to provide motor control with a fuzzy logic controller. High accuracy is obtained from experimental study.Öğe Experimental investigations of using MWCNTs and graphene nanoplatelets water-based nanofluids as coolants in PVT systems(Pergamon-Elsevier Science Ltd, 2019) Alous, Salaheldin; Kayfeci, Muhammet; Uysal, AliIn this study, a photovoltaic thermal collector)PVT(has been constructed in Karabuk University, Turkey to investigate the effects of utilizing multiwalled carbon nanotubes (MWCNT) and graphene nanoplatelets dispersed in water as a base fluid with a concentration of 0.5 wt% on the performance of PVT systems. Outdoor experiments were run with volume flow rate of 0.5 L/min for the aforementioned nanofluids and distilled water as a reference fluid. The study results, which were analyzed from energetic and exergetic viewpoints, have shown and revealed that the MWCNT-water nanofluid presented a better performance in terms of photovoltaic energetic conversion compared to graphene nanoplatelets-water nanofluid and distilled water, while graphene nanoplatelets-water nanofluid revealed the highest thermal energetic efficiency. Moreover adding thermal unit to photovoltaic module (PV) enhanced the total energetic efficiency by 53.4% for distilled water, 57.2% for MWCNT-water, and 63.1% for graphene-water. From the exergetic viewpoint, the increase in total exergetic efficiency was 11.2%, 12.1%, and 20.6% for PVT collector cooled by distilled water, MWCNT-water nanofluid, and graphene nanoplatelets-water nanofluid respectively.Öğe EXPERIMENTAL STUDY ABOUT UTILIZATION OF MWCNT AND GRAPHENE NANOPLATELETS WATER-BASED NANOFLUIDS IN FLAT NON-CONCENTRATING PVT SYSTEMS(Vinca Inst Nuclear Sci, 2021) Alous, Salaheldin; Kayfeci, Muhammet; Uysal, AliAlthough the increment the performance of photovoltaic thermal (PVT) systems by using the nanofluids as working fluids have gained the attention of researchers during the last two decades, there is still, a lack in the literature study associated to this application. This study contributes to the investigations and researches of applying the nanofluids to increase the performance of PVT collectors. A flat non-concentrating PVT collector has been designed, constructed and, outdoor tested in Karabuk University, Turkey. The considered working fluids in this study are multiwall carbon nanotubes (MWCNT), and graphene nanoplatelets dispersed in water as a base fluid with a concentration of 0.5 wt. %. The experiments were run with a volume flow rate of 0.5 L per minute for the aforementioned nanofluids and distilled water (as a reference fluid). The study results have shown and revealed that the MWCNT-water nanofluid presented a better performance in terms of electrical energetic efficiency compared to graphene nanoplatelets-water nanofluid and distilled water, while graphene nanoplatelets-water nanofluid revealed the highest thermal energetic efficiency. Moreover adding thermal unit to photovoltaic module enhanced the total energetic efficiency by 53.4% for distilled water, 57.2% for MWCNT-water, and 63.1% for graphene-water.Öğe Fuzzy Logic Controlled Brushless Direct Current Motor Drive Design and Application for Regenerative Braking(Ieee, 2017) Karabacak, Yusuf; Uysal, AliIn this study, a driver design for the Brush Less Direct Current (BLDC) engine was made. With this driver, BLDC motors are provided to operate in both engine mode and regenerative braking mode. Fuzzy logic controller is used for motor speed control. The STM32F4 Discovery development card has been used to control your drive. Driver tests were conducted on an electric vehicle. Test data were obtained with the aid of a mini computer placed on the vehicle. In regenerative braking mode, the speed of the vehicle slowed down and the battery voltage was shown to be charged at the desired levels. The drive test data was obtained with the aid of an oscilloscope.Öğe Fuzzy proportional-integral speed control of switched reluctance motor with MATLAB/Simulink and programmable logic controller communication(Sage Publications Ltd, 2019) Uysal, Ali; Gokay, Serdar; Soylu, Emel; Soylu, Tuncay; Caska, SerkanIn this study, the auto-tuning proportional-integral controller is used to control the speed of a switched reluctance motor. The control algorithm is executed by the programmable logic controller. The proportional integral gains are determined via fuzzy logic. Fuzzy logic is executed on a separate computer via MATLAB/Simulink software. The data exchange between the programmable logic controller and MATLAB/Simulink is done with object linking embedding/component for the process. The fuzzy proportional integral control algorithm is compared with the conventional proportional integral controller. We reduced the load on the programmable logic controller via executing fuzzy logic in a separate computer and at the same time eliminated the disadvantages of the conventional proportional-integral controller. With the proposed method, the engine reached the reference speed value in a short time and the overshoots were eliminated in variable conditions such as different load and different speed conditions.Öğe Implementation of a Photovoltaik Sourced Fuzzy Logic Controlled Synchronous Buck Converter(Gazi Univ, 2012) Bay, Omer Faruk; Uysal, AliIn this study, a fuzzy logic controlled synchronous buck converter design has been realized to produce hydrogen with electrolysis. Electrical energy obtained from solar panels which is one of the renewable energy sources is used as energy sources. The aim of the proposed buck converter is to obtain constant output current at variable loads and variable input voltages. PWM technique is used for controlling of switches on the system. Fuzzy Logic Controller is used as control algorithm. Proposed system has been tested at variable loads and variable supply voltages using both PI controller and fuzzy logic controller to show the effectiveness of the fuzzy control algorithm. According to the experimental results, fuzzy logic controller has faster response time and has lower overshot and less steady state error than PI controller.Öğe Real-time condition monitoring and fault diagnosis in switched reluctance motors with Kohonen neural network(Zhejiang Univ, 2013) Uysal, Ali; Bayir, RaifThe faults in switched reluctance motors (SRMs) were detected and diagnosed in real time with the Kohonen neural network. When a fault happens, both financial losses and undesired situations may occur. For these reasons, it is important to detect the incipient faults of SRMs and to diagnose which faults have occurred. In this study, a test rig was realized to determine the healthy and faulty conditions of SRMs. A data set for the Kohonen neural network was created with implemented measurements. A graphical user interface (GUI) was created in Matlab to test the performance of the Kohonen artificial neural network in real time. The data of the SRM was transferred to this software with a data acquisition card. The condition of the motor was monitored by marking the data measured in real time on the weight position graph of the Kohonen neural network. This test rig is capable of real-time monitoring of the condition of SRMs, which are used with intermittent or continuous operation, and is capable of detecting and diagnosing the faults that may occur in the motor. The Kohonen neural network used for detection and diagnosis of faults of the SRM in real time with Matlab GUI was embedded in an STM32 processor. A prototype with the STM32 processor was developed to detect and diagnose the faults of SRMs independent of computers.Öğe Real-time fuzzy logic control of switched reluctance motor(2017) Ünlü, Tarik; Uysal, AliIn this study, 8/6 switched reluctance motor (SRM) is controlled by fuzzy logic. For driving SRM, four phase asymmetric bridge converter is chosen. STM32F4 Discovery processor and MATLAB Simulink software fuzzy logic controller (FLC) are used. SRM’s speed and current are transferred to the computer in real-time. Measured speeds and currents are plotted. It is shown here that, the SRM for different reference speeds and loads is controlled by a STM32F4 Discovery card with MATLAB Simulink FLCÖğe Yapay sinir ağları kullanarak anahtarlamalı relüktans motorlarda hata tespit ve teşhisi(Karabük Üniversitesi, 2014) Uysal, Ali; Bayır, RaifBu çalışmada anahtarlamalı relüktans motoru (ARM) hatalarının yapay sinir ağları (YSA) ile gerçek zamanlı olarak tespit ve teşhisi gerçekleştirilmiştir. ARM'ler günümüzde birçok kritik uygulamada kullanılmaktadır. Örneğin kan karıştırma cihazı, hibrid araçlar vb. Bu motorların bozulması durumunda hem maddi kayıplar hem de istenilmeyen durumlar ortaya çıkmaktadır. Bu çalışmada ARM hatalarını tespit ve teşhis edebilmek ve arızalanmadan durumunu öğrenmek için bir test düzeneği hazırlanmıştır. Bu test düzeneğinde ARM'ye ait parametreler bir veri alış veriş kartı ile gerçek zamanlı olarak bilgisayar ortamına aktarılmaktadır. Hata tespit ve teşhisi için Matlab ortamında kullanıcı ara yüzü yazılım gerçekleştirilmiştir. Bu yazılım gerçek zamanlı olarak tercih edilen YSA ile ARM hatalarını tespit ve teşhis etmektedir. Hata tespit ve teşhisinde Kohonen sinir ağı, İleri beslemeli sinir ağı ve Elman sinir ağı kullanılmaktadır. ARM'lerde YSA'lar ile gerçek zamanlı hata tespit ve teşhisine en uygun sinir ağı, başarım performanslarına göre Elman sinir ağı olarak belirlenmiştir.
