On the Continuous embeddings between the fractional Haj{\l}asz-Orlicz-Sobolev spaces

Let $G$ be an Orlicz function and let $\alpha, \beta, s$ be positive real numbers. Under certain conditions on the Orlicz function $G$, we establish some continuous embeddings results between the fractional order Orlicz-Sobolev spaces defined on metric-measure spaces $W_s^{\alpha, G}(X, d, \mu)$ and the fractional Haj{\l}asz-Orlicz-Sobolev spaces $M^{\beta, G}(X,d,\mu)$

Impact of the variation of capacitance, inductance, and resistive load on the behavior of buck converter

This paper deals with the structure of the buck converter circuit and the influence of the inappropriate values of its electrical components on the trend of its output voltage. In this perspective, a further study is established on the variation of the inductance, the capacity and the load. As a result, an observation of their impacts on the behavior of the converter is performed. Therefore, when the inductance value is low and the capacitance value is defined as large, the system tends to be more stable and faster. The optimal values of these two components have been considered within the converter circuit in order to closely observe the output response. Indeed, the obtained response has been the most stable and the faster. In this context, a comparison has been made between the calculated values and those obtained during the simulation on Matlab/Simulink. A small difference is observed between the both. On the other hand, the variation of the load resistance only influences the stability of the system, seen clearly for important values

Comparative study of the three equivalent models’ response of solar cell

The photovoltaic cell is the main part of the solar energy conversion. The analysis of the response of the solar cell becomes a necessity. In the literature the solar cell is generally modeled by three equivalent electrical circuits. There are single diode, double diode and triple diodes model. the aim of this paper is to study the accuracy of each model. Therefore, by comparing the generated errors between each model and those obtained by measured data from RTC France solar cell, it was proven that the triple diodes model is the most precise among the three models. errors functions like RMSE and IAE were used to demonstrate this outcome

Impact of the variation of capacitance, inductance, and resistive load on the behavior of buck converter

This paper deals with the structure of the buck converter circuit and the influence of the inappropriate values of its electrical components on the trend of its output voltage. In this perspective, a further study is established on the variation of the inductance, the capacity and the load. As a result, an observation of their impacts on the behavior of the converter is performed. Therefore, when the inductance value is low and the capacitance value is defined as large, the system tends to be more stable and faster. The optimal values of these two components have been considered within the converter circuit in order to closely observe the output response. Indeed, the obtained response has been the most stable and the faster. In this context, a comparison has been made between the calculated values and those obtained during the simulation on Matlab/Simulink. A small difference is observed between the both. On the other hand, the variation of the load resistance only influences the stability of the system, seen clearly for important values

Comparative study of the three equivalent models’ response of solar cell

The photovoltaic cell is the main part of the solar energy conversion. The analysis of the response of the solar cell becomes a necessity. In the literature the solar cell is generally modeled by three equivalent electrical circuits. There are single diode, double diode and triple diodes model. the aim of this paper is to study the accuracy of each model. Therefore, by comparing the generated errors between each model and those obtained by measured data from RTC France solar cell, it was proven that the triple diodes model is the most precise among the three models. errors functions like RMSE and IAE were used to demonstrate this outcome