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ZENODO
Article . 2019
License: CC BY
Data sources: Datacite
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ZENODO
Article . 2019
License: CC BY
Data sources: Datacite
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A Model-Based Approach of DC-DC Converters Dedicated to Controller Design Applications for Photovoltaic Generators

Authors: Labidi, Zeineb Rania; Schulte, Horst; Mami, Abdelkader;

A Model-Based Approach of DC-DC Converters Dedicated to Controller Design Applications for Photovoltaic Generators

Abstract

In this paper, a model-based approach of DC-DC converters dedicated to controller design applications for photovoltaic generators is introduced. The paper provides a mathematic averaging model, based on the state space method for DC-DC converters that is used as an adaptation level in photovoltaic generators. This modeling allows the dynamics of the system to be described by presenting a reliable model to be used for oriented controller design. The two most needed topologies of DC-DC converters are proposed, buck and buck-boost, and an overview of integral state feedback controller design using a model-based approach for a boost converter connected to a photovoltaic generator described in our previous published work is provided. The model-based conception of both converter types is analyzed for optimal use in control-oriented design. The validation of each model is demonstrated by comparative curves represented by a detailed plant model using simscape devices available and implemented in Simulink/Matlab.

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Keywords

photovoltaic generator, buck-boost converter, state–space modeling, model-based approach, buck converter

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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