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A Data-Driven Based Voltage Control Strategy for DC-DC Converters: Application to DC Microgrid

1
Departamento de Ingeniería de Sistemas y Automática, Universidad de Sevilla, 41092 Sevilla, Spain
2
Department of Electrical Engineering, University of Tehran, Tehran 1417466191, Iran
3
Department of Electrical Sustainable Energy, Delft University of Technology, Mekelweg 4, 2628 CD Delft, The Netherlands
4
Faculty of Engineering and IT, University of Technology Sydney, Sydney, NSW 2007, Australia
5
Department of Electrical Engineering and Automation, Aalto University, 02150 Espoo, Finland
*
Author to whom correspondence should be addressed.
Electronics 2019, 8(5), 493; https://doi.org/10.3390/electronics8050493
Received: 27 March 2019 / Revised: 18 April 2019 / Accepted: 22 April 2019 / Published: 30 April 2019
(This article belongs to the Special Issue Industrial Applications of Power Electronics)
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Abstract

This paper develops a data-driven strategy for identification and voltage control for DC-DC power converters. The proposed strategy does not require a pre-defined standard model of the power converters and only relies on power converter measurement data, including sampled output voltage and the duty ratio to identify a valid dynamic model for them over their operating regime. To derive the power converter model from the measurements, a local model network (LMN) is used, which is able to describe converter dynamics through some locally active linear sub-models, individually responsible for representing a particular operating regime of the power converters. Later, a local linear controller is established considering the identified LMN to generate the control signal (i.e., duty ratio) for the power converters. Simulation results for a stand-alone boost converter as well as a bidirectional converter in a test DC microgrid demonstrate merit and satisfactory performance of the proposed data-driven identification and control strategy. Moreover, comparisons to a conventional proportional-integral (PI) controllers demonstrate the merits of the proposed approach. View Full-Text
Keywords: DC-DC power converter; Takagi–Sugeno fuzzy system; hierarchical binary tree DC-DC power converter; Takagi–Sugeno fuzzy system; hierarchical binary tree
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Rouzbehi, K.; Miranian, A.; Escaño, J.M.; Rakhshani, E.; Shariati, N.; Pouresmaeil, E. A Data-Driven Based Voltage Control Strategy for DC-DC Converters: Application to DC Microgrid. Electronics 2019, 8, 493.

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