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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| Format: | Article |
| Language: | English |
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Association for Scientific Computing Electronics and Engineering (ASCEE)
2023
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| Online Access: | http://umpir.ump.edu.my/id/eprint/39759/ http://umpir.ump.edu.my/id/eprint/39759/1/Optimized%20PID%20controller%20of%20DC-DC%20buck%20converter%20based%20on%20archimedes%20optimization%20algorithm.pdf |
| _version_ | 1848825858959081472 |
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| 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 |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T03:35:37Z |
| format | Article |
| id | ump-39759 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:35:37Z |
| publishDate | 2023 |
| publisher | Association for Scientific Computing Electronics and Engineering (ASCEE) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-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 |
| 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 |
| title | 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_short | 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 |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/39759/ http://umpir.ump.edu.my/id/eprint/39759/ http://umpir.ump.edu.my/id/eprint/39759/ http://umpir.ump.edu.my/id/eprint/39759/1/Optimized%20PID%20controller%20of%20DC-DC%20buck%20converter%20based%20on%20archimedes%20optimization%20algorithm.pdf |