WoS İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/394

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Browsing WoS İndeksli Yayınlar Koleksiyonu by Author "Ablay, Günyaz"

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    A Horizontal Magnetic Tweezer for Single Molecule Micromanipulations
    (Institute of Electrical and Electronics Engineers Inc., 2018) Ablay, Günyaz; Böyük, Mustafa; Eroǧlu, Yakup; İçöz, Kutay
    Magnetic tweezers are able to manipulate cells or biomolecules for various applications and measurements. In this work, a horizontal magnetic tweezer is designed, modeled and controlled for single molecule manipulations. A method is presented for dynamic modeling of horizontal magnetic tweezers. A linear control method is designed to ensure a wide range of operation conditions with zero steady-state error. The horizontal magnetic tweezer is able to generate a wide range of piconewton scale forces on a superparamagnetic microparticle for single molecule separation, and biosensor developments. © 2019 Elsevier B.V., All rights reserved.
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    Citation - WoS: 1
    Citation - Scopus: 2
    Steam Generator Level Control With an Observer-Based Algebraic Approach
    (IEEE Computer Society help@computer.org, 2013) Ablay, Günyaz
    Level control systems are used to maintain the steam generator water level within the prescribed narrow limits and to provide constant supply of steam during power demand variations. The current level control systems are often found to be unsatisfactory during startup and low power operations. A robust nonlinear estimator-based optimal algebraic control is developed for level control systems to solve the water level tracking problem during power demand variations. It is shown that the proposed control provides an optimal and robust water level tracking with a single automatic controller over the complete range of power operation in the presence of plant uncertainties and noisy measurements. © 2013 The Chamber of Turkish Electrical Engineers-Bursa. © 2020 Elsevier B.V., All rights reserved.
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    Citation - Scopus: 1
    Modeling and Simulation of Advanced Nuclear Reactors
    (IEEE Computer Society help@computer.org, 2013) Ablay, Günyaz
    Advanced nuclear power plants are currently being proposed with a number of various designs. However, there is a lack of modeling and control strategies to deal with load following operations. This research investigates a possible modeling approach for advanced nuclear power plants in order to provide an assessment way to the concept designs. The modeling approach covers linear and nonlinear reactor modeling and linear modeling of heat exchanger-turbine- generator systems. Numerical results are presented on an example molten-salt type nuclear power plant system to demonstrate the validity and effectiveness of the modeling approach. © 2013 IEEE. © 2014 Elsevier B.V., All rights reserved.
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    Citation - WoS: 10
    Citation - Scopus: 13
    An Observer-Based Fault Diagnosis in Battery Systems of Hybrid Vehicles
    (IEEE Computer Society help@computer.org, 2013) Ablay, Günyaz
    Hybrid electric vehicles (HEVs) currently use Nickel-Metal Hydride (Ni-MH) batteries which have advantages of design flexibility, superior power, environmental acceptability and recyclability, long life, wide-range operating temperature and low cost. No matter how good a battery is, a failure can always occur in a battery leading to serious inconvenience, performance deterioration and costly replacement. Thus, it is desirable to be able to detect the underlying degradation and to predict level of unsatisfactory performance. By using current, voltage and temperature measurements of Ni-MH batteries, they can be modeled so that the internal dynamics of the batteries can be estimated and state of health of the batteries can be predicted for secure and long-life operations. An observer-based fault diagnosis approach is designed to analyze the state of health of the Ni-MH battery system of HEVs in this study. Real-world input data is used to assess the efficiency of the approach in the existence of uncertainties. The possible sensor faults and unexpected parameter deviations are diagnosed efficiently with statistical evaluation of the generated residuals. © 2013 The Chamber of Turkish Electrical Engineers-Bursa. © 2020 Elsevier B.V., All rights reserved.