Comparison of Novel Approaches to the Predictive Control of a DC-DC Boost Converter, Based on Heuristics
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 me...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-11-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/11/12/3300 |
| _version_ | 1798034171853012992 |
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| author | Robert Baždarić Danjel Vončina Igor Škrjanc |
| author_facet | Robert Baždarić Danjel Vončina Igor Škrjanc |
| author_sort | Robert Baždarić |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T20:39:38Z |
| format | Article |
| id | doaj.art-34505de4965246cda84fef70abe45440 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T20:39:38Z |
| publishDate | 2018-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-34505de4965246cda84fef70abe454402022-12-22T04:04:14ZengMDPI AGEnergies1996-10732018-11-011112330010.3390/en11123300en11123300Comparison of Novel Approaches to the Predictive Control of a DC-DC Boost Converter, Based on HeuristicsRobert Baždarić0Danjel Vončina1Igor Škrjanc2Faculty of Electrical Engineering, University of Ljubljana, Tržaška 25, Ljubljana 1000, SloveniaFaculty of Electrical Engineering, University of Ljubljana, Tržaška 25, Ljubljana 1000, SloveniaFaculty of Electrical Engineering, University of Ljubljana, Tržaška 25, Ljubljana 1000, SloveniaThis 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.https://www.mdpi.com/1996-1073/11/12/3300switched affine systemshybrid systemsfuzzy identificationfuzzy modelingtwo degrees of freedomfuzzy model predictive control |
| spellingShingle | Robert Baždarić Danjel Vončina Igor Škrjanc Comparison of Novel Approaches to the Predictive Control of a DC-DC Boost Converter, Based on Heuristics Energies switched affine systems hybrid systems fuzzy identification fuzzy modeling two degrees of freedom fuzzy model predictive control |
| title | Comparison of Novel Approaches to the Predictive Control of a DC-DC Boost Converter, Based on Heuristics |
| title_full | Comparison of Novel Approaches to the Predictive Control of a DC-DC Boost Converter, Based on Heuristics |
| title_fullStr | Comparison of Novel Approaches to the Predictive Control of a DC-DC Boost Converter, Based on Heuristics |
| title_full_unstemmed | Comparison of Novel Approaches to the Predictive Control of a DC-DC Boost Converter, Based on Heuristics |
| title_short | Comparison of Novel Approaches to the Predictive Control of a DC-DC Boost Converter, Based on Heuristics |
| title_sort | comparison of novel approaches to the predictive control of a dc dc boost converter based on heuristics |
| topic | switched affine systems hybrid systems fuzzy identification fuzzy modeling two degrees of freedom fuzzy model predictive control |
| url | https://www.mdpi.com/1996-1073/11/12/3300 |
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