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Comparison of novel approaches to the predictive control of a DC-DC boost converter, based on heuristics
ID Baždarić, Robert (Author), ID Vončina, Danijel (Author), ID Škrjanc, Igor (Author)

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Abstract
This paper introduces novel approaches to the predictive control of a DC-DC boost converter and a comparison of the controllers built that consider all of the current objectives and minimize the complexity of the online processing. The primary concern is given to the applicability of the inclined methods for systems that are physically small but considered physically fast processes. Although the performed methodologies are simulated and applied to a DC-DC boost converter, they can have broader applicability for different switched affine systems as a subgroup of the hybrid systems. The introduced methods present an alternative way of building the process model based on the fuzzy identification that contributes to the final objective: the applicability of the predictive methods for fast processes.

Language:English
Keywords:fuzzy algorithms, identification, control, switched affine systems, hybrid systems, fuzzy identification, fuzzy modeling, two degrees of freedom, fuzzy model predictive control
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FE - Faculty of Electrical Engineering
Publication status:Published
Publication version:Version of Record
Year:2018
Number of pages:16 str.
Numbering:Vol. 11, iss. 12, art. 3300
PID:20.500.12556/RUL-132066 This link opens in a new window
UDC:681.5
ISSN on article:1996-1073
DOI:10.3390/en11123300 This link opens in a new window
COBISS.SI-ID:12264020 This link opens in a new window
Publication date in RUL:11.10.2021
Views:849
Downloads:130
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Record is a part of a journal

Title:Energies
Shortened title:Energies
Publisher:Molecular Diversity Preservation International
ISSN:1996-1073
COBISS.SI-ID:518046745 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:01.12.2018

Secondary language

Language:Slovenian
Keywords:mehki algoritmi, identifikacija, vodenje

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