Bond graph based automated modeling of switch-mode power converters using VHDL-AMS

Zrafi, Rached; Ghedira, Sami; Dhahri, Yassin; Besbes, Kamel

doi:10.1109/cadiag.2017.8075628

Cited by 4 publications

(1 citation statement)

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“…In SystemVision, the designer can draw the bond graph model on the screen by using the basic bond graph library written in the VHDL-AMS language. For more information about the combination of bond graph theory and mixed language programming, the reader can refer to [13][14][15], and [15][16][17] for more detail about the implementation of the basic bond graph elements in VHDL-AMS. …”

Section: Derivation Of the Buck Bond Graph Modelmentioning

confidence: 99%

A Bond Graph Approach for the Modeling and Simulation of a Buck Converter

Zrafi

Ghedira

Besbes

2018

JLPEA

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This paper deals with the modeling of bond graph buck converter systems. The bond graph formalism, which represents a heterogeneous formalism for physical modeling, is used to design a sub-model of a power MOSFET and PiN diode switchers. These bond graph models are based on the device's electrical elements. The application of these models to a bond graph buck converter permit us to obtain an invariant causal structure when the switch devices change state. This paper shows the usefulness of the bond graph device's modeling to simulate an implicit bond graph buck converter.

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Section: Derivation Of the Buck Bond Graph Modelmentioning

confidence: 99%

A Bond Graph Approach for the Modeling and Simulation of a Buck Converter

Zrafi

Ghedira

Besbes

2018

JLPEA

Self Cite

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Development and experimental validation of novel robust MPPT controller based on bond graph and fuzzy logic for PV system under variable weather conditions

Badoud

Ayat

Mekhilef

2021

Int Trans Electr Energ Syst

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Traditional MPPT algorithms have demonstrated effective performance relative to their flexibility and simplicity of implementation. However, its main disadvantages are the ineffectiveness and the large oscillations around the MPP under non-uniform solar irradiance. To achieve better performance in the power extraction from the PV system, we propose in this work a new hybrid controller focused on the bond graph and fuzzy logic (BG-FL-MPPT) to track the maximum power point under different weather conditions. The aim of the research is BG-FL-MPPT development, which will guarantee the optimum power reference operation of the system with greater efficiency, less error in the stability and voltage fluctuations. A rigorous comparison was made between the developed controller and other two MPPT algorithms, including perturbation and observation (P&O) and particle swarm optimization (PSO), in three distinct test scenarios to check the effectiveness of the suggested control. In terms of stability and robustness, it was found from the results obtained that the established controller assures the required operation of the studied system by tracking efficiency of up to 99.95% to achieve the maximum power point. A 90% faster convergence rate is obtained with a decrease in oscillations of 94.95%. The experimental tests were performed using a high-performance experimental platform, and in the same metrological conditions, an in-depth comparison of the experimental results with the results obtained by simulation was made.

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