Smart Control of Buck Converters using a Switching-based Clustering Algorithm
This paper proposes a new approach to the control of switching voltage regulators (buck converters). The method is performed using a switching-based clustering algorithm. The implementations of competing approaches such as a fuzzy-logic controller, proportional integral derivative controller and a n...
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| Published in: | 2019 14th Annual Conference System of Systems Engineering (SoSE) pp. 334 - 339 |
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| Main Authors: | , |
| Format: | Conference Proceeding |
| Language: | English |
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IEEE
01.05.2019
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| Abstract | This paper proposes a new approach to the control of switching voltage regulators (buck converters). The method is performed using a switching-based clustering algorithm. The implementations of competing approaches such as a fuzzy-logic controller, proportional integral derivative controller and a neural network based controller are presented in order to compare and evaluate the performance of the switching-based clustering algorithm. The results of the approach show that the proposed method could improve the stability and the performance of the buck converter system by 2.7% in terms of settling time and by 0.6% in terms of the overshoot value as compared to other control methods for buck converters. |
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| AbstractList | This paper proposes a new approach to the control of switching voltage regulators (buck converters). The method is performed using a switching-based clustering algorithm. The implementations of competing approaches such as a fuzzy-logic controller, proportional integral derivative controller and a neural network based controller are presented in order to compare and evaluate the performance of the switching-based clustering algorithm. The results of the approach show that the proposed method could improve the stability and the performance of the buck converter system by 2.7% in terms of settling time and by 0.6% in terms of the overshoot value as compared to other control methods for buck converters. |
| Author | Cmiel, M. Abegaz, B.W. |
| Author_xml | – sequence: 1 givenname: B.W. surname: Abegaz fullname: Abegaz, B.W. – sequence: 2 givenname: M. surname: Cmiel fullname: Cmiel, M. |
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| Snippet | This paper proposes a new approach to the control of switching voltage regulators (buck converters). The method is performed using a switching-based clustering... |
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| StartPage | 334 |
| SubjectTerms | Buck converters clustering Clustering algorithms Control systems Machine learning Multilevel converters Neural networks power converters Regulators Switches switching System of systems unsupervised machine learning Voltage control |
| Title | Smart Control of Buck Converters using a Switching-based Clustering Algorithm |
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