Intelligent Control Using Metaheuristic Optimization for Buck-Boost Converter
Joint Authors
Tunyasrirut, Satean
Chanjira, P.
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-14
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This research aims to introduce an intelligent controlling system of windmill-generated voltage connected to a load of 12 V.
As natural wind speed lacks consistency, the resultant irregular voltage can lead to system damage.
In the experiment, a buck-boost converter is not only designed to control such voltage but also tuned by intelligent methods.
It is very challenging to control the system.
PI controller is developed using metaheuristic optimization, an artificial fish-swarm algorithm (AFSA).
In testing, the buck-boost converter is controlled by the PI controller at a reference voltage of 14 V and supplied with an input voltage Vin in the range of 5–100V.
The result shows that, even with inconstant Vin, the system can effectively control the reference voltage at 14 V.
American Psychological Association (APA)
Chanjira, P.& Tunyasrirut, Satean. 2020. Intelligent Control Using Metaheuristic Optimization for Buck-Boost Converter. Journal of Engineering،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1183736
Modern Language Association (MLA)
Chanjira, P.& Tunyasrirut, Satean. Intelligent Control Using Metaheuristic Optimization for Buck-Boost Converter. Journal of Engineering No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1183736
American Medical Association (AMA)
Chanjira, P.& Tunyasrirut, Satean. Intelligent Control Using Metaheuristic Optimization for Buck-Boost Converter. Journal of Engineering. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1183736
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1183736