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Extremum Seeking as a Tool for Active Damping of Active Front-End Converters

Edi Matijevic, Rahul Sharma, Firuz Zare, Dinesh Kumar

2022IEEE Transactions on Industrial Electronics13 citationsDOI

Abstract

Active damping control is necessary to mitigate the resonance issues associated with the grid-connected active front-end converters equipped with <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">LCL</i> harmonic filters. Nonetheless, the performance and stability of active damping are highly susceptible to uncertainties due to the grid impedance variations and aging-related drift in <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">LCL</i> filter parameters that can lead to a mismatch between actual and modeled resonance point thereby causing deterioration in performance or even instability. This article addresses this important practical issue by proposing a novel real-time optimization-based self-tuning algorithm to adaptively change the resonant frequency of active damping control as per variations in grid and filter conditions. The approach benefits from the concept of extremum seeking as a framework to estimate actual resonant frequency. The approach is experimentally validated on a two-level three-phase converter interfaced with a dSPACE rapid control prototyping system. The results demonstrate that the proposed approach is a straightforward and effective way of obtaining the performance and stability certainty of active damped AFE systems regardless of the grids they are connected to.

Topics & Concepts

ConvertersControl theory (sociology)GridElectrical impedanceActive filterStability (learning theory)Computer scienceEngineeringControl (management)MathematicsElectrical engineeringVoltageArtificial intelligenceMachine learningGeometryExtremum Seeking Control SystemsSilicon Carbide Semiconductor Technologies
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