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 |
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| Keywords: | fuzzy algorithms, identification, control, switched affine systems, hybrid systems, fuzzy identification, fuzzy modeling, two degrees of freedom, fuzzy model predictive control |
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| Work type: | Article |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FE - Faculty of Electrical Engineering
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| Publication status in journal: | Published |
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| Article version: | Publisher's version of article |
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| Year: | 2018 |
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| Number of pages: | 16 str. |
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| Numbering: | Vol. 11, iss. 12, art. 3300 |
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| PID: | 20.500.12556/RUL-132066  |
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| UDC: | 681.5 |
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| ISSN on article: | 1996-1073 |
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| DOI: | 10.3390/en11123300 |
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| COBISS.SI-ID: | 12264020 |
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| Publication date in RUL: | 11.10.2021 |
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| Views: | 361 |
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| Downloads: | 96 |
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