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Optimized PID controller of DC-DC buck converter based on archimedes optimization algorithm

This research assesses the suitability of the Archimedes Optimization Algorithm (AOA) as a metaheuristic technique to fine-tune a PID controller in a closed-loop DC-DC buck converter. The converter's core function is to regulate output voltage, ensuring stability despite load fluctuations and i...

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Main Authors: Ling, Kuok Fong, Islam, Muhammad Shafiqul, Mohd Ashraf, Ahmad
Format: Article
Language:English
Published: Association for Scientific Computing Electronics and Engineering (ASCEE) 2023
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/39759/1/Optimized%20PID%20controller%20of%20DC-DC%20buck%20converter%20based%20on%20archimedes%20optimization%20algorithm.pdf
http://umpir.ump.edu.my/id/eprint/39759/
https://doi.org/10.31763/ijrcs.v3i4.1113
https://doi.org/10.31763/ijrcs.v3i4.1113
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spelling my.ump.umpir.397592023-12-27T01:46:46Z http://umpir.ump.edu.my/id/eprint/39759/ Optimized PID controller of DC-DC buck converter based on archimedes optimization algorithm Ling, Kuok Fong Islam, Muhammad Shafiqul Mohd Ashraf, Ahmad TK Electrical engineering. Electronics Nuclear engineering This research assesses the suitability of the Archimedes Optimization Algorithm (AOA) as a metaheuristic technique to fine-tune a PID controller in a closed-loop DC-DC buck converter. The converter's core function is to regulate output voltage, ensuring stability despite load fluctuations and input voltage changes. The operational effectiveness of the converter hinges significantly on the gain settings of the PID controller and determining the optimal gain setting for the PID controller is a non-trivial task. For robust performance, the PID controller necessitates optimal gain settings, attainable through metaheuristic optimization. The algorithm aids in identifying ideal proportional, integral, and derivative gains based on varying load conditions. Leveraging the metaheuristic algorithm, the PID controller is optimized to minimize voltage errors, reduce overshoot, and enhance response time. The proposed PID controller, optimized using AOA, is contrasted with PID controllers tuned via alternative algorithms including the hybrid Nelder-Mead method (AEONM), artificial ecosystem-based optimization (AEO), differential evolution (DE), and particle swarm optimizer (PSO). Performance evaluation involves injecting a voltage disturbance into the buck converter with load changes of up to 20%. Results demonstrate the superiority of the AOA-optimized PID controller in voltage recovery. It demonstrates a faster response time and outstanding voltage regulation performance, while also exhibiting minimal performance degradation during load changes. This study concludes that the AOA optimization algorithm surpasses other methods in tuning the PID controller for closed-loop DC-DC buck converters. Association for Scientific Computing Electronics and Engineering (ASCEE) 2023 Article PeerReviewed pdf en cc_by_sa_4 http://umpir.ump.edu.my/id/eprint/39759/1/Optimized%20PID%20controller%20of%20DC-DC%20buck%20converter%20based%20on%20archimedes%20optimization%20algorithm.pdf Ling, Kuok Fong and Islam, Muhammad Shafiqul and Mohd Ashraf, Ahmad (2023) Optimized PID controller of DC-DC buck converter based on archimedes optimization algorithm. International Journal of Robotics and Control Systems, 3 (4). pp. 658-672. ISSN 2775-2658. (Published) https://doi.org/10.31763/ijrcs.v3i4.1113 https://doi.org/10.31763/ijrcs.v3i4.1113
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
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Ling, Kuok Fong
Islam, Muhammad Shafiqul
Mohd Ashraf, Ahmad
Optimized PID controller of DC-DC buck converter based on archimedes optimization algorithm
description This research assesses the suitability of the Archimedes Optimization Algorithm (AOA) as a metaheuristic technique to fine-tune a PID controller in a closed-loop DC-DC buck converter. The converter's core function is to regulate output voltage, ensuring stability despite load fluctuations and input voltage changes. The operational effectiveness of the converter hinges significantly on the gain settings of the PID controller and determining the optimal gain setting for the PID controller is a non-trivial task. For robust performance, the PID controller necessitates optimal gain settings, attainable through metaheuristic optimization. The algorithm aids in identifying ideal proportional, integral, and derivative gains based on varying load conditions. Leveraging the metaheuristic algorithm, the PID controller is optimized to minimize voltage errors, reduce overshoot, and enhance response time. The proposed PID controller, optimized using AOA, is contrasted with PID controllers tuned via alternative algorithms including the hybrid Nelder-Mead method (AEONM), artificial ecosystem-based optimization (AEO), differential evolution (DE), and particle swarm optimizer (PSO). Performance evaluation involves injecting a voltage disturbance into the buck converter with load changes of up to 20%. Results demonstrate the superiority of the AOA-optimized PID controller in voltage recovery. It demonstrates a faster response time and outstanding voltage regulation performance, while also exhibiting minimal performance degradation during load changes. This study concludes that the AOA optimization algorithm surpasses other methods in tuning the PID controller for closed-loop DC-DC buck converters.
format Article
author Ling, Kuok Fong
Islam, Muhammad Shafiqul
Mohd Ashraf, Ahmad
author_facet Ling, Kuok Fong
Islam, Muhammad Shafiqul
Mohd Ashraf, Ahmad
author_sort Ling, Kuok Fong
title Optimized PID controller of DC-DC buck converter based on archimedes optimization algorithm
title_short Optimized PID controller of DC-DC buck converter based on archimedes optimization algorithm
title_full Optimized PID controller of DC-DC buck converter based on archimedes optimization algorithm
title_fullStr Optimized PID controller of DC-DC buck converter based on archimedes optimization algorithm
title_full_unstemmed Optimized PID controller of DC-DC buck converter based on archimedes optimization algorithm
title_sort optimized pid controller of dc-dc buck converter based on archimedes optimization algorithm
publisher Association for Scientific Computing Electronics and Engineering (ASCEE)
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/39759/1/Optimized%20PID%20controller%20of%20DC-DC%20buck%20converter%20based%20on%20archimedes%20optimization%20algorithm.pdf
http://umpir.ump.edu.my/id/eprint/39759/
https://doi.org/10.31763/ijrcs.v3i4.1113
https://doi.org/10.31763/ijrcs.v3i4.1113
_version_ 1822924009133572096
score 13.232389

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