Proceedings of the International Conference on Artificial Intelligence Techniques for Electrical Engineering Systems (AITEES 2022)

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Optimized Hybrid Buck DC-DC Converter with QFT Controller

Authors
Vargil Kumar Eate1, B. Mahesh Babu1, *, G. Kishore Babu1
1Seshadri Rao Gudlavalleru Engineering College, Gudlavalleru, Andhra Pradesh, India
*Corresponding author. Email: bannu219@gmail.com
Corresponding Author
B. Mahesh Babu
Available Online 5 December 2022.
DOI
10.2991/978-94-6463-074-9_18How to use a DOI?
Keywords
Cross Inductor Hybrid DC-DC buck converter (CIHBDC); QFT controller; step-down structure; experimental results; steady state analysis Particle Swarm Optimization and differential evolution (PSODE) Algorithm
Abstract

The present research work discuss about a hybrid DC-DC buck converter with QFT controller which is intended to reduce the power component voltage stress. The conventional buck converter with split switched inductor and cross connection of uni-direction switch results in Cross Inductor Hybrid dc-dc buck converter (CIHBDC). The capacitor electro static excitation and inductor electro-magnetic response steady state values are obtained by theoretical steady state analysis. A closed loop feedback along with QFT controller design is also applied to enhance the performance. The dynamic PSIM experimentation and MATLAB simulation results are illustrated here for performance evaluation. A 100 W, 48 V supplied converter topology which outputs controlled 12 V is designed to portray the steady state analysis. Particle Swarm Optimization (PSO), Differential Evolution (DE) and hybrid algorithm of PSO and DE called PSODE approach is applied to optimize the components of the presented converter. Further the output control voltage as fitness function is evaluated with the considered optimization algorithms.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Artificial Intelligence Techniques for Electrical Engineering Systems (AITEES 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
5 December 2022
ISBN
978-94-6463-074-9
ISSN
2589-4919
DOI
10.2991/978-94-6463-074-9_18How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Vargil Kumar Eate
AU  - B. Mahesh Babu
AU  - G. Kishore Babu
PY  - 2022
DA  - 2022/12/05
TI  - Optimized Hybrid Buck DC-DC Converter with QFT Controller
BT  - Proceedings of the International Conference on Artificial Intelligence Techniques for Electrical Engineering Systems (AITEES 2022)
PB  - Atlantis Press
SP  - 204
EP  - 217
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-074-9_18
DO  - 10.2991/978-94-6463-074-9_18
ID  - Eate2022
ER  -