Blackbox Polytopic Model With Dynamic Weighting Functions for DC-DC Converters

Francés Roger, Airán and Asensi Orosa, Rafael and Uceda Antolín, Javier (2019). Blackbox Polytopic Model With Dynamic Weighting Functions for DC-DC Converters. "IEEE Access", v. 7 ; pp. 160263-160273. ISSN 2169-3536. https://doi.org/10.1109/ACCESS.2019.2950983.

Description

Title: Blackbox Polytopic Model With Dynamic Weighting Functions for DC-DC Converters
Author/s:
  • Francés Roger, Airán
  • Asensi Orosa, Rafael
  • Uceda Antolín, Javier
Item Type: Article
Título de Revista/Publicación: IEEE Access
Date: 4 November 2019
ISSN: 2169-3536
Volume: 7
Subjects:
Freetext Keywords: Blackbox models; dc microgrids; dc-dc converters; dynamic interactions; electronic power distribution; modeling; system identification; nonlinear models
Faculty: E.T.S.I. Industriales (UPM)
Department: Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

DC electric power distribution is becoming popular due to the proliferation of renewable sources and storage elements in applications such as electric vehicles, ships, aircrafts, microgrids, etc. These systems are characterized by a high integration of power electronic converters. From a system-level perspective, it would be desirable to design this kind of systems using commercial-off-the shelf converters. However, in general, the manufacturers do not provide a behavioral model of the devices in order to analyze the dynamic behavior of the interconnected system before the actual implementation. In the literature, several blackbox modeling techniques have been proposed to overcome this lack of information. This paper proposes the integration of dynamic weighting functions to the polytopic model in order to improve the accuracy of the behavioral models when the input variables change sharply. A boost converter is used as case study and the performance of the proposed model is compared with the most relevant techniques that can be found in the literature.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainDPI2016-78644-PUnspecifiedUnspecifiedSistema de identificación automática de modelos no lineales en caja negra de convertidores electrónicos de potencia en micro-redes inteligentes de corriente continua

More information

Item ID: 63835
DC Identifier: http://oa.upm.es/63835/
OAI Identifier: oai:oa.upm.es:63835
DOI: 10.1109/ACCESS.2019.2950983
Official URL: https://ieeexplore.ieee.org/document/8890629
Deposited by: Memoria Investigacion
Deposited on: 27 Oct 2020 14:12
Last Modified: 27 Oct 2020 14:12
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