Analysis and study of Zeta converter fed by solar photovoltaic array

Dhote, V. P.; Modak, Gaurav P.

doi:10.1109/ipact.2017.8245041

Cited by 6 publications

(3 citation statements)

References 8 publications

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“…In designing the control system so that ANFIS can run well, ANFIS requires a lot of data as input data and targets to be achieved. Therefore, the design of the neuro-fuzzy controller includes 4 stages, identification, fuzzification, determination of the rule base, and deffuzification [17], [18].…”

Section: Fuzzy Logic Modelingmentioning

confidence: 99%

Comparison of ANFIS and FLC as Charging Battery Based on Zeta Converter

Febian

Rakhmawati²,

Suhariningsih³

2022

Intek

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Solar energy is an unlimited source of energyand its availability will never run out. It can be converted into asupply of electrical energy. And saved into battery throughconverter. There are many people who convert solar energy intoelectrical energy. Unfortunately, when stored in the battery, it isstill necessary to adjust the output voltage of the converter. So, itis need a controller to do it. To solve the problem, we proposeFuzzy Logic Controller (FLC) and Adaptive Neuro FuzzyInference System (ANFIS) control to adjust output voltage whilethe input voltage is fluctuative. We will compare which twocontrollers are better. We used the constant voltage method, andafter we ran the simulation, we got ANFIZ better than FLC.Because we get setting point faster when using ANFIZ. Theresult, it need time 0,04s to get setting point on output voltage

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Section: Fuzzy Logic Modelingmentioning

confidence: 99%

Comparison of ANFIS and FLC as Charging Battery Based on Zeta Converter

Febian

Rakhmawati²,

Suhariningsih³

2022

Intek

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“…This converter is seemed as buck-boost converter [6]. Zeta converter circuit consist of two inductors and series capacitor, sometimes called a coupling capacitor [7]. The basic circuit of zeta converter is shown in Figure 2.…”

Section: A Zeta Converter Modelingmentioning

confidence: 99%

Comparison of FLC and ANFIS Methods to Keep Constant Power Based on Zeta Converter

Mufa’ary¹,

Sudiharto²,

Murdianto

2021

Intek

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The rapid development of technology encourages humans to always create various types of renewable innovations, which are useful for facilitating work and fulfill user’s order as desired. Especially in household appliances that use renewable energy sources in the form of solar cell, this implementation produces a fluctuating output power according to the properties of solar cell. So, it needs to be stabilized by zeta converter with the help of technology in the engineering sector, it is carried out by means of an interface as a liaison between the software and the controlled hardware. Therefore, a fuzzy set theory emerged to solve the problem in control design. However, there are other controls that can improve fuzzy deficiencies, called ANFIS. ANFIS has advantages in the learning process from the plant and the rules that will be made by the Neural Network have the main ability in terms of learning and adaptation, then decision making is done by FLC. This paper aims to compare the performance of the FLC and ANFIS as a control to keep stability of the output power of the zeta converter, where the converter work like a buck-boost converter that can increase or decrease the output power to be consumed in order to stabilize. The use of these two controllers can also compare the time at steady state and the constant power before learning occurs and after learning process. The simulation results show that the accuracy of ANFIS is 99.82% higher than accuracy of FLC which is 98.08%.

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“…DA/DA dönüştürücülerin uygulama alanlarından birisi olan güneş enerjisi bazlı enerji üretim sistemlerinde [5] bu özelliklerinden dolayı Zeta dönüştürücüler kullanılmaktadır [6]. Çoklu fotovoltaik diziler içeren bu tür sistemlerde [7], ve özellikle hem gerilim düşürülmesi hem de yükseltilmesi gereken uygulamalarda [8] fotovoltaik panel ile yük arasında [9] Zeta dönüştürücülere yer verilmektedir. Öte yandan LED aydınlatma sürücülerinde [10] ve bu tür uygulamalarda aydınlatma miktarının ayarlanabilir olması istendiğinde [11], rüzgâr enerji türbinlerinde [12], elektrikli araç şarj sistemlerinde [13] ve su pompası sistemlerinde [14] Zeta dönüştürücüler yaygın bir şekilde kullanılmaktadır.…”

Section: Gi̇ri̇ş (Introduction)unclassified

Tepe akım modu kontrollü izolesiz zeta dönüştürücünün küçük işaret analizi, benzetimi ve deneysel olarak gerçeklemesi

Yılmaz

GARİP

2022

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi

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 Finding the small signal mathematical model of the Zeta dc/dc converter in symbolic form  PWM-switch model approach with peak currentmode controlled Zeta dc/dc converter  Comparison of the theoretical model with simulation and prototype circuit resultsIn this study, dynamic analysis of non-isolated Zeta converter has been presented with peak current-mode (PCM) control in continuous conduction mode utilizing the PWM-switch model. While small signal analysis of Zeta converter has been reported in the literature with constant frequency voltage-mode control, its small signal analysis with PCM control has not been reported. The transfer function from control input to output voltage was derived in symbolic form considering the esr of the output capacitor. Figure A. Dynamic model derivation and verification process of Zeta dc-dc converter Purpose: The essential aim is to achieve small signal model of non-isolated Zeta converter with PCM control. Theory and Methods:First, non-isolated Zeta converter topology is adapted to analyze with the PWM-switch model. Using linear circuit analysis, and dc and ac equivalents of PWM-switch model, its fifth order small signal model is achieved for PCM control structure. The analysis was verified by PSIM simulations and real measurements taken from an experimental prototype circuit built. Results:The results were in good agreement up to half the switching frequency of the converter. The comparisons in terms of absolute mean error show that the overall magnitude and phase difference between the Bode plots of analysis and simulations is 0.895(dB) and 4.613(°). On the other hand, the gap between measurements and analysis is calculated as 1.746(dB) for the magnitude and 18.872(°) for the phase values on average. Conclusion:While the analysis and PSIM simulation results are in very good agreement, the analysis and measured results agree reasonably well. For simplicity, dc resistances of other components in the Zeta converter except the esr of output capacitor have been omitted in the mathematical analysis. The analysis and measured results would even be closer if these resistances were considered in the analysis.

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Analysis and study of Zeta converter fed by solar photovoltaic array

Cited by 6 publications

References 8 publications

Comparison of ANFIS and FLC as Charging Battery Based on Zeta Converter

Comparison of ANFIS and FLC as Charging Battery Based on Zeta Converter

Comparison of FLC and ANFIS Methods to Keep Constant Power Based on Zeta Converter

Tepe akım modu kontrollü izolesiz zeta dönüştürücünün küçük işaret analizi, benzetimi ve deneysel olarak gerçeklemesi

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