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Data-Driven Control Design for Power Converters Approximated as Switched Affine Systems and Experimental Validation

Authors

MERCHAN RIVEROS, MARIA CAMILA, Albea, Carolina , Seuret, Alexandre

External publication

No

Means

IEEE Trans. Circuits Syst. II-Express Briefs

Scope

Article

Nature

Científica

JCR Quartile

1

SJR Quartile

1

JCR Impact

4.9

Publication date

01/09/2024

ISI

001309075800005

Abstract

This brief introduces a data-driven control design approach for power converters modelled as a switched affine system, that guarantees the global stability. Unlike many existing approaches, our contribution does not require a precise identification of a nonlinear model but it rather relies on prior random experimental data, which allows the design of a stabilizing control law in a direct manner. The proposed method is then evaluated on an Imperix power test bench. The experimental results not only confirm the viability of the data-driven approach for nonlinear systems but also demonstrate its applicability in real-world scenarios.

Keywords

Symmetric matrices; Matrix converters; Switches; Control design; Uncertainty; Vectors; Nonlinear systems; Data-driven control; switched affine system; power converter

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