A5075454312- Photovoltaic System Optimization Techniques
- Solar Thermal and Photovoltaic Systems
- Neural Networks and Applications
- Sensorless Control of Electric Motors
- Solar Radiation and Photovoltaics
- Fuzzy Logic and Control Systems
- Building Energy and Comfort Optimization
- Advanced Data Processing Techniques
- Video Surveillance and Tracking Methods
- Hybrid Renewable Energy Systems
- Control Systems and Identification
- Machine Fault Diagnosis Techniques
- Advanced Control Systems Design
- Electric Motor Design and Analysis
- Adaptive Control of Nonlinear Systems
- Advanced Image and Video Retrieval Techniques
- Muscle activation and electromyography studies
- Iterative Learning Control Systems
- Blind Source Separation Techniques
- Laser and Thermal Forming Techniques
- EEG and Brain-Computer Interfaces
- Energy and Environment Impacts
- Multidisciplinary Science and Engineering Research
- Magnetic Bearings and Levitation Dynamics
- Photovoltaic Systems and Sustainability
Kahramanmaraş Sütçü İmam University
2003-2017
Kilis 7 Aralık University
2014
Mountain houses abound in particularly Mediterranean region of Turkey. The development photovoltaic (PV) solar cells has offered an opportunity to supply electricity these houses. In addition mountain houses, transmitter stations remote areas, sales points by the highways, nomadic communities and farmers may also benefit from PV systems for electricity. case insufficient radiation, diesel generators are used this need. This study focuses on planning, modeling cost analysis energy a off-grid...
This paper presents an adaptive neuro-fuzzy inference system (ANFIS) based speed control for indirect field oriented controlled induction motor drive. The obtaining of maximum torque and efficiency in the necessitates a successful nonlinear method due to non-linear structure system. In this work, fuzzy logic controller (FLC) ANFIS has been developed motors. Parameters are tuned with on-line direct self-tuning method. performance proposed controllers examined different working conditions....
Abstract In this paper, the radial basis function neural network‐based model reference adaptive speed control for vector controlled induction motor drive system is presented. The of motors challenging because their complex mathematical model, non‐linear structure, and time varying dynamics. network used to compensate non‐linearity which comes from state equations model. Neural parameters are online updated via gradient descent algorithm minimize error. has been tested under various operating...
Photovoltaic (PV) panels absorb solar energy most when radiation perpendicularly reaches on upon surface. This leads to the notion of optimal roof angle. Optical and geometrical properties are vital importance in order obtain maximum from Sun. Therefore, this study focuses horizontal angle which has a crucial impact performance PV panels. Total radiation, effects different angles Kahramanmaras province Turkey days numerically experimentally analyzed discussed. Additionally, influences amount...
Shading analyzer systems are necessary for selecting the most suitable installation site to sustain enough solar power. Afterwards, changes in data throughout year must be evaluated along with identification of obstructions surrounding order analyze shading effects on productivity power system. In this study, analysis tools introduced briefly, and a new different device is developed explained effect environmental obstruction which system will established. Thus, exposure duration PV panels...
This paper proposes a model reference adaptive speed controller based on artificial neural network for induction motor drives. The performance of traditional feedback controllers has been insufficient in control motors due to nonlinear structure the system, changing environmental conditions, and disturbance input effects. A successful requires system. On other hand, recent years, it demonstrated that intelligence methods were much more system applications. In this work, developed an...
Closed circuit TV systems have recently become an indispensable part of daily life. Cameras are vital importance as significant elements security in different buildings such houses, stores and shopping malls. IP technology contributed to the development which witnessed rapid improvements terms smart image analysis. Recent camera with video analysis serve a purpose. This study focuses on designing system.
In today's world, the daily need for and cost of energy sources increase this forces industrial institutions to seek new ways generate their own energy. The developments in photovoltaic systems have recently drawn attention business world. Although installation costs are high, they environmentally friendly profitable investments long run. analysis a large-scale generator climatic conditions Kahramanmara\c{s} will lead way investments. study, modeling an on-grid 500 kW, which was installed...
Üç fazlı asenkron motorların hız denetiminde sistemin doğrusal olmayan yapısı, yük momentindeki değişimler, parametre değişimleri ve bilinmeyen bozucu etkilerinden dolayı geleneksel PI tipi denetim ile iyi bir performans sağlanamamaktadır. Bu nedenle motorun denetiminde, daha elde etmek için adaptif kontrol yöntemleri uygulanmaya başlamıştır. çalışmada vektör kontrollü yerine modern yöntemlerinden olan sinirsel-bulanık (ANFIS) sistemi önerilmiştir. çalışmanın esas amacı, denetimli çalışmadan...
Solar energy plants are popular due to their low cost, and environmental friendly renewable nature. Germany is the leading country in solar market world. Turkey also possesses a very high potential terms of among European countries. The present study aims draw attention define its applicability for these two Two identical photovoltaic systems, installed Germany, were analyzed. First, we introduced experimental results systems. Second, numerically modelled systems processed data with PVsyst...
Renewable energy has started to receive increasing attention due various factors, such as scarcity of existing sources, high costs, global climate problems, etc. In this respect, solar recently witnessed rapid developments its unlimited, carbon-free, environment-friendly, cost effective, and feasible nature. However, large pieces land are necessary in order install photovoltaic systems. Therefore, protection arable lands measurement roof potentials vital importance terms reducing...
Gerçek hayattaki sistemlerin hemen hiçbiri lineer değildir.Bulanık mantık doğrusal olmayan denetim yöntemleri arasında alternatif
Concentrating solar power (CSP) system is a favorable application because of its potential to constantly generate large-scale electricity. Today, there are many CSP plants in the world. Therefore, aim this study analyze these systems detail. To measure efficiencies systems, model created and microsystem experimentally tested. As result, gas boiler modeled generates monthly amount 3.222,317 kWh, collector 1.709,8 kWh. In addition, we also analyzed CO2 emission status, reduction was calculated...
Karışım tanklarının kontrolü
ÖzetGüvenlik ülkelerin ve bireylerin temel ihtiyaçlarındandır.Gelişen teknolojinin güvenlik sistemlerinde yer alması her geçen gün artmaktadır.Özellikle kameraları önemli bir işlev görmektedir
Doğru akım (DA) motorları kolay denetlenmeleri ve yüksek performans gibi özelliklerinden dolayı endüstride konum hız denetimi uygulamalarında sıkça kullanılmaktadır.Doğru motorlarının denetiminde bulanık mantık esaslı denetim yaygın olarak kullanılmaktadır
This work introduces an artificial neural network based efficient speed control for a DC motor. For this task; first, the motor mathematical model is obtained in digital form. Secondly, order to be able develop necessary inputs drive plant, open loop signals, direct and inverse models of system are identified by conventional ANN identifiers working together. After that, controller introduced, which trained composite error signal. The success designed tested simulation study considering real...