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Dynamic control and performance of dual active bridge converter based particle swarm optimization

This paper presents analysis of the dynamic response of the isolated bidirectional dual active bridge (DAB) DC-DC converter using particle swarm optimization (PSO) algorithm. On the basis, the fast dynamic response is one of the main control objective for DAB system to ensure the system able to have...

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Main Authors: Suliana, Ab Ghani, Hamdan, Daniyal, Norazila, Jaalam, Norhafidzah, Mohd Saad, Nur Huda, Ramlan
Format: Conference or Workshop Item
Language:English
English
Published: Institution of Engineering and Technology 2022
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/42066/1/Dynamic%20control%20and%20performance%20of%20dual%20active%20bridge.pdf
http://umpir.ump.edu.my/id/eprint/42066/2/Dynamic%20control%20and%20performance%20of%20dual%20active%20bridge%20converter%20based%20particle%20swarm%20optimization_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42066/
https://doi.org/10.1049/icp.2022.2633
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spelling my.ump.umpir.420662024-09-30T04:42:54Z http://umpir.ump.edu.my/id/eprint/42066/ Dynamic control and performance of dual active bridge converter based particle swarm optimization Suliana, Ab Ghani Hamdan, Daniyal Norazila, Jaalam Norhafidzah, Mohd Saad Nur Huda, Ramlan T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering This paper presents analysis of the dynamic response of the isolated bidirectional dual active bridge (DAB) DC-DC converter using particle swarm optimization (PSO) algorithm. On the basis, the fast dynamic response is one of the main control objective for DAB system to ensure the system able to have fast time recovery and adapt with various control environment. A 200 kW DAB system with single-phase shift (SPS) modulation is tested for direct and indirect online tuning phase-shift angle, ϕ using PSO algorithm. In direct tuning, the optimal ϕ is directly tuning using PSO. While in indirect tuning method, the optimal values of PI parameters are functioning to well-tuned the desired ϕ in the DAB system, where both values of KP and KI have been optimized using the PSO algorithm. The DAB performance with both proposed methods is evaluated in terms of dynamic response for load step changes under various reference voltages. Comparative analysis between direct and indirect methods are carried out using hardware in-the-loop (HIL) experimental. The DAB with indirect online tuning produces 11.50ms faster response compared to the direct online tuning method. Institution of Engineering and Technology 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42066/1/Dynamic%20control%20and%20performance%20of%20dual%20active%20bridge.pdf pdf en http://umpir.ump.edu.my/id/eprint/42066/2/Dynamic%20control%20and%20performance%20of%20dual%20active%20bridge%20converter%20based%20particle%20swarm%20optimization_ABS.pdf Suliana, Ab Ghani and Hamdan, Daniyal and Norazila, Jaalam and Norhafidzah, Mohd Saad and Nur Huda, Ramlan (2022) Dynamic control and performance of dual active bridge converter based particle swarm optimization. In: IET Conference Proceedings. 2022 Engineering Technology International Conference, ETIC 2022 , 7 - 8 September 2022 , Kuantan, Virtual. pp. 312-316., 2022 (22). ISSN 2732-4494 ISBN 978-183953782-0 (Published) https://doi.org/10.1049/icp.2022.2633
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Suliana, Ab Ghani
Hamdan, Daniyal
Norazila, Jaalam
Norhafidzah, Mohd Saad
Nur Huda, Ramlan
Dynamic control and performance of dual active bridge converter based particle swarm optimization
description This paper presents analysis of the dynamic response of the isolated bidirectional dual active bridge (DAB) DC-DC converter using particle swarm optimization (PSO) algorithm. On the basis, the fast dynamic response is one of the main control objective for DAB system to ensure the system able to have fast time recovery and adapt with various control environment. A 200 kW DAB system with single-phase shift (SPS) modulation is tested for direct and indirect online tuning phase-shift angle, ϕ using PSO algorithm. In direct tuning, the optimal ϕ is directly tuning using PSO. While in indirect tuning method, the optimal values of PI parameters are functioning to well-tuned the desired ϕ in the DAB system, where both values of KP and KI have been optimized using the PSO algorithm. The DAB performance with both proposed methods is evaluated in terms of dynamic response for load step changes under various reference voltages. Comparative analysis between direct and indirect methods are carried out using hardware in-the-loop (HIL) experimental. The DAB with indirect online tuning produces 11.50ms faster response compared to the direct online tuning method.
format Conference or Workshop Item
author Suliana, Ab Ghani
Hamdan, Daniyal
Norazila, Jaalam
Norhafidzah, Mohd Saad
Nur Huda, Ramlan
author_facet Suliana, Ab Ghani
Hamdan, Daniyal
Norazila, Jaalam
Norhafidzah, Mohd Saad
Nur Huda, Ramlan
author_sort Suliana, Ab Ghani
title Dynamic control and performance of dual active bridge converter based particle swarm optimization
title_short Dynamic control and performance of dual active bridge converter based particle swarm optimization
title_full Dynamic control and performance of dual active bridge converter based particle swarm optimization
title_fullStr Dynamic control and performance of dual active bridge converter based particle swarm optimization
title_full_unstemmed Dynamic control and performance of dual active bridge converter based particle swarm optimization
title_sort dynamic control and performance of dual active bridge converter based particle swarm optimization
publisher Institution of Engineering and Technology
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/42066/1/Dynamic%20control%20and%20performance%20of%20dual%20active%20bridge.pdf
http://umpir.ump.edu.my/id/eprint/42066/2/Dynamic%20control%20and%20performance%20of%20dual%20active%20bridge%20converter%20based%20particle%20swarm%20optimization_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42066/
https://doi.org/10.1049/icp.2022.2633
_version_ 1822924683434000384
score 13.232414

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