Comparison on performance between synchronous single-ended primary-inductor converter (SEPIC) and synchronous ZETA converter

Woranetsuttikul, Kaweepoj; Pinsuntia, Kittapas; Jumpasri, Nattawat; Nilsakorn, Taywin; Khan-ngern, W.

doi:10.1109/ieecon.2014.6925855

Cited by 12 publications

(5 citation statements)

References 4 publications

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“…In recent years, dc-dc conversion has been greatly developed in many sectors of the industrial world, and the Zeta converter has been applied with excellent results in terms of power density and output ripple [25]. Thanks to its simple structure and its ability to operate as a buck-boost converter with a noninverted output, it has been used in many different applications: as an electric vehicle battery charger powered by a photovoltaic (PV) array [26], as a dc motor controller [27], and as grid interface in a standalone dc microgrid [28].…”

Section: Zeta Convertermentioning

confidence: 99%

Failure Prevention in DC–DC Converters: Theoretical Approach and Experimental Application on a Zeta Converter

Bindi

Corti

Grasso

et al. 2023

IEEE Trans. Ind. Electron.

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In this article, we propose a monitoring procedure based on a multilayer neural network with multivalued neurons (MLMVN) capable of preventing catastrophic failures of dc-dc converters. The neural classifier allows both the detection of any malfunction and its localization. Thanks to the low computational complexity, the proposed method operates online, estimating the deviations of the passive components from their nominal values: this allows control strategies to be promptly adopted and operation of the dc-dc converter to be kept in high efficiency and reliability conditions. Since measuring the voltage and current on each component increases the complexity of the system, a testability analysis is proposed with the aim of identifying the minimum number of measurements needed to distinguish the classes of failure. To make the testability phase easier and more intuitive, a graphical representation is proposed. As a case study, prognostic analysis has been applied to prevent catastrophic failures in a synchronous Zeta converter. Several fault conditions have been analyzed through simulations and experimental tests. The obtained results confirm the ability of the proposed method to prevent failures and, also, show that the application of MLMVN results in a better performance than classic solutions available in the literature, such as support vector machine.

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Section: Zeta Convertermentioning

confidence: 99%

Failure Prevention in DC–DC Converters: Theoretical Approach and Experimental Application on a Zeta Converter

Bindi

Corti

Grasso

et al. 2023

IEEE Trans. Ind. Electron.

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“…[54][55][56][57][58] The possibility of minimization of the switching and conduction losses by increasing the switching frequency is the main advantage of switching-mode converters. [54][55][56][57][58] The possibility of minimization of the switching and conduction losses by increasing the switching frequency is the main advantage of switching-mode converters.…”

Section: Comparison Of Nonisolated Dc/dc Converters For Battery-chamentioning

confidence: 99%

“…In recent years, DC/DC converters for battery-charging systems have attracted a great deal of attention in many researches. [54][55][56][57][58] The possibility of minimization of the switching and conduction losses by increasing the switching frequency is the main advantage of switching-mode converters. The selection of an appropriate power converter for DC/DC conversion has a serious impact on an optimal operation of the PV-pumping systems.…”

Section: Comparison Of Nonisolated Dc/dc Converters For Battery-chamentioning

confidence: 99%

Application of DC/DC Ćuk converter as a soft starter for battery chargers based on double‐loop control strategy

Goudarzian

Khosravi

2019

Circuit Theory & Apps

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utilization of a transformer and passive snubbers in isolated converters increases the losses, volume, and cost. The second category is nonisolated converters, which are used for low or medium power levels. These have simple structure, low weight and high efficiency. Most of nonisolated converters are obtained by development of the boost and buckboost topologies. 7,8 It should be noticed that the boost and buck-boost converters are an unsuitable choice for DC/DC energy conversion, because of the pulsating output current. 9 Furthermore, the single-ended primary-inductor converter (SEPIC) normally presents an unbalanced output current. This deteriorated current may be undesirable for electronic systems. To overcome this drawback, Zeta converter has been introduced in many studies. 9-11 It produces a continuous output current. But, the input current of the Zeta converter is discontinuous, resulting in high losses and efficiency reduction. Hence, Ćuk converter has been proposed for industrial applications such as photovoltaic plants, 12 wind energy, 13 electrical vehicles, 14 compressor, 15 and fuel cell systems. 16 This converter can operate in a wide range of the output voltage, input voltage, and load. 17 The first goal of this paper is to show that a Ćuk converter can be well employed in battery charger applications as a soft starter to prevent the system from large current oscillations.So far, many researches have been focused on modelling and control of DC/DC converters. Small signal analysis of power converters is performed in a previous study 18 by considering the effects of parametric resistances and double-loop proportional-integral (PI) controller based on classical methods is proposed in another study. 19 Generally, traditional proportional-integral-derivative (PID)-type or PI-type controllers are common control methods in industrial systems, because of the unsophisticated design, simple control scheme, and effortless implementation. 20,21 The design theory of classical controllers is based on local linearization of the plant model to predict the system response in the frequency domain. However, these are inappropriate for large-signal models, which are subjected to significant variations. Also, it is necessary that the gains of classical methods is repeatedly adjusted to guarantee a favorable performance, because of the changes of controlled system parameters and the effects of uncertainties. In an existing work, 22 an automatic procedure is applied for optimal design of PI and PID controllers. Although this strategy brings more flexibility in design and provides a better response, the proposed control scheme looks to be more complicated as compared with nonadaptive design methods. Contrary to the aforementioned traditional approaches, some nonlinear control techniques have been offered for DC/DC converters in last decades. In the other research, 23 a particular linearized method around the equilibrium point of power converters is utilized to estimate the complete nonlinear system. Moreover, the analogue...

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“…In this paper, the definition of a prognostic analysis for DC-DC converters is carried out and verified through a simulation procedure in a Matlab-Simulink environment. The converter taken into consideration is a Zeta converter, which allows for a high voltage gain and low ripple in the output current using four passive components [18][19][20]. These components are the main subjects of the prognostic analysis, and their variations with respect to the nominal values are used as indexes of the state converter of health.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning-Based Monitoring of DC-DC Converters in Photovoltaic Applications

et al. 2022

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In this paper, a monitoring method for DC-DC converters in photovoltaic applications is presented. The primary goal is to prevent catastrophic failures by detecting malfunctioning conditions during the operation of the electrical system. The proposed prognostic procedure is based on machine learning techniques and focuses on the variations of passive components with respect to their nominal range. A theoretical study is proposed to choose the best measurements for the prognostic analysis and adapt the monitoring method to a photovoltaic system. In order to facilitate this study, a graphical assessment of testability is presented, and the effects of the variable solar irradiance on the selected measurements are also considered from a graphical point of view. The main technique presented in this paper to identify the malfunction conditions is based on a Multilayer neural network with Multi-Valued Neurons. The performances of this classifier applied on a Zeta converter are compared to those of a Support Vector Machine algorithm. The simulations carried out in the Simulink environment show a classification rate higher than 90%, and this means that the monitoring method allows the identification of problems in the initial phases, thus guaranteeing the possibility to change the work set-up and organize maintenance operations for DC-DC converters.

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Comparison on performance between synchronous single-ended primary-inductor converter (SEPIC) and synchronous ZETA converter

Cited by 12 publications

References 4 publications

Failure Prevention in DC–DC Converters: Theoretical Approach and Experimental Application on a Zeta Converter

Failure Prevention in DC–DC Converters: Theoretical Approach and Experimental Application on a Zeta Converter

Application of DC/DC Ćuk converter as a soft starter for battery chargers based on double‐loop control strategy

Machine Learning-Based Monitoring of DC-DC Converters in Photovoltaic Applications

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