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Time-variant online auto-tuned pi controller using pso algorithm for high accuracy dual active bridge dc-dc converter

The proliferation of clean energy and environmentally friendly transportation has contributed to the development of electric vehicles (EVs) including the EV DC charger system. A dual active bridge (DAB) is a DC-DC converter that has the required features for an EV DC charger. A proportional-integral...

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Main Authors: Suliana, Ab Ghani, Hamdan, Daniyal, Norazila, Jaalam, Nur Huda, Ramlan, Norhafidzah, Mohd Saad
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 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/39432/1/Time-Variant%20Online%20Auto-Tuned%20PI%20Controller%20Using%20PSO%20Algorithm.pdf
http://umpir.ump.edu.my/id/eprint/39432/2/Time-variant%20online%20auto-tuned%20pi%20controller%20using%20pso%20algorithm%20for%20high%20accuracy%20dual%20active%20bridge%20dc-dc%20converter_ABS.pdf
http://umpir.ump.edu.my/id/eprint/39432/
https://doi.org/10.1109/I2CACIS54679.2022.9815470
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spelling my.ump.umpir.394322023-11-29T07:03:35Z http://umpir.ump.edu.my/id/eprint/39432/ Time-variant online auto-tuned pi controller using pso algorithm for high accuracy dual active bridge dc-dc converter Suliana, Ab Ghani Hamdan, Daniyal Norazila, Jaalam Nur Huda, Ramlan Norhafidzah, Mohd Saad T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering The proliferation of clean energy and environmentally friendly transportation has contributed to the development of electric vehicles (EVs) including the EV DC charger system. A dual active bridge (DAB) is a DC-DC converter that has the required features for an EV DC charger. A proportional-integral (PI) controller is a common method in power electronics applications, including DAB. However, the manual tuning of PI parameters using Ziegler-Nichols (ZN) needs a lengthy time and the tuning values are practical and well-functioning at the tuning point only. Moreover, the fixed gains in offline tuning cannot fully control the system output as needed and do not guarantee the robustness of the system. This paper proposes a time-variant online auto-tuned PI controller using a particle swarm optimization (PSO) algorithm for the 200 kW DAB system. The DAB performance with the proposed controller is evaluated in terms of steady-state error, eSS and dynamic performance under various reference voltages at different loads and load step changes. Comparative analysis between the proposed method and manual tuning performance are presented. A hardware-in-the-loop (HIL) experimental circuit is built to validate the simulation results. The DAB with the proposed method produces 64% higher accuracy and 40% faster response compared to manual tuning. tuning. Institute of Electrical and Electronics Engineers Inc. 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39432/1/Time-Variant%20Online%20Auto-Tuned%20PI%20Controller%20Using%20PSO%20Algorithm.pdf pdf en http://umpir.ump.edu.my/id/eprint/39432/2/Time-variant%20online%20auto-tuned%20pi%20controller%20using%20pso%20algorithm%20for%20high%20accuracy%20dual%20active%20bridge%20dc-dc%20converter_ABS.pdf Suliana, Ab Ghani and Hamdan, Daniyal and Norazila, Jaalam and Nur Huda, Ramlan and Norhafidzah, Mohd Saad (2022) Time-variant online auto-tuned pi controller using pso algorithm for high accuracy dual active bridge dc-dc converter. In: 2022 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2022 - Proceedings, 25 June 2022 , Shah Alam. pp. 36-41. (180716). ISBN 978-166549581-3 https://doi.org/10.1109/I2CACIS54679.2022.9815470
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
Nur Huda, Ramlan
Norhafidzah, Mohd Saad
Time-variant online auto-tuned pi controller using pso algorithm for high accuracy dual active bridge dc-dc converter
description The proliferation of clean energy and environmentally friendly transportation has contributed to the development of electric vehicles (EVs) including the EV DC charger system. A dual active bridge (DAB) is a DC-DC converter that has the required features for an EV DC charger. A proportional-integral (PI) controller is a common method in power electronics applications, including DAB. However, the manual tuning of PI parameters using Ziegler-Nichols (ZN) needs a lengthy time and the tuning values are practical and well-functioning at the tuning point only. Moreover, the fixed gains in offline tuning cannot fully control the system output as needed and do not guarantee the robustness of the system. This paper proposes a time-variant online auto-tuned PI controller using a particle swarm optimization (PSO) algorithm for the 200 kW DAB system. The DAB performance with the proposed controller is evaluated in terms of steady-state error, eSS and dynamic performance under various reference voltages at different loads and load step changes. Comparative analysis between the proposed method and manual tuning performance are presented. A hardware-in-the-loop (HIL) experimental circuit is built to validate the simulation results. The DAB with the proposed method produces 64% higher accuracy and 40% faster response compared to manual tuning. tuning.
format Conference or Workshop Item
author Suliana, Ab Ghani
Hamdan, Daniyal
Norazila, Jaalam
Nur Huda, Ramlan
Norhafidzah, Mohd Saad
author_facet Suliana, Ab Ghani
Hamdan, Daniyal
Norazila, Jaalam
Nur Huda, Ramlan
Norhafidzah, Mohd Saad
author_sort Suliana, Ab Ghani
title Time-variant online auto-tuned pi controller using pso algorithm for high accuracy dual active bridge dc-dc converter
title_short Time-variant online auto-tuned pi controller using pso algorithm for high accuracy dual active bridge dc-dc converter
title_full Time-variant online auto-tuned pi controller using pso algorithm for high accuracy dual active bridge dc-dc converter
title_fullStr Time-variant online auto-tuned pi controller using pso algorithm for high accuracy dual active bridge dc-dc converter
title_full_unstemmed Time-variant online auto-tuned pi controller using pso algorithm for high accuracy dual active bridge dc-dc converter
title_sort time-variant online auto-tuned pi controller using pso algorithm for high accuracy dual active bridge dc-dc converter
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/39432/1/Time-Variant%20Online%20Auto-Tuned%20PI%20Controller%20Using%20PSO%20Algorithm.pdf
http://umpir.ump.edu.my/id/eprint/39432/2/Time-variant%20online%20auto-tuned%20pi%20controller%20using%20pso%20algorithm%20for%20high%20accuracy%20dual%20active%20bridge%20dc-dc%20converter_ABS.pdf
http://umpir.ump.edu.my/id/eprint/39432/
https://doi.org/10.1109/I2CACIS54679.2022.9815470
_version_ 1822923877899042816
score 13.232406

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