Article
Smart Control of Buck Converters using a Switching-based Clustering Algorithm
2019 14th Annual Conference System of Systems Engineering (SoSE)
Document Type
Conference Proceeding
Publication Date
1-1-2019
Pages
334-339
Publisher Name
IEEE
Publisher Location
Anchorage, AK
Disciplines
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.
Creative Commons License
Creative Commons Attribution-Noncommercial-No Derivative Works 3.0
Copyright Statement
© 2019 IEEE.
Citation Information
Brook Abegaz and M. Cmiel. "Smart Control of Buck Converters using a Switching-based Clustering Algorithm" 2019 14th Annual Conference System of Systems Engineering (SoSE) (2019) Available at: http://works.bepress.com/brook-abegaz/12/
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