Data-driven fractional-order PID controller tuning for liquid slosh suppression using marine predators algorithm
Traditional control system development for liquid slosh problems often relies on model-based approaches, which are challenging to implement in practice due to the chaotic and complex nature of fluid motion in containers. In response, this study introduces a data-driven fractional-order PID (FOPID) c...
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| Format: | Article |
| Language: | English |
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International Information and Engineering Technology Association
2023
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/38209/ http://umpir.ump.edu.my/id/eprint/38209/1/Data-Driven%20Fractional-Order%20PID%20Controller%20Tuning%20for%20Liquid%20Slosh%20Suppression.pdf |
| _version_ | 1848825449837232128 |
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| author | Mohd Zaidi, Mohd Tumari Mohd Ashraf, Ahmad Mohd Helmi, Suid Mohd Riduwan, Ghazali Shahrizal, Saat |
| author_facet | Mohd Zaidi, Mohd Tumari Mohd Ashraf, Ahmad Mohd Helmi, Suid Mohd Riduwan, Ghazali Shahrizal, Saat |
| author_sort | Mohd Zaidi, Mohd Tumari |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Traditional control system development for liquid slosh problems often relies on model-based approaches, which are challenging to implement in practice due to the chaotic and complex nature of fluid motion in containers. In response, this study introduces a data-driven fractional-order PID (FOPID) controller designed using the Marine Predators Algorithm (MPA) for suppressing liquid slosh. The MPA serves as a data-driven tuning tool to optimize the FOPID controller parameters based on a fitness function comprising the total norms of tracking error, slosh angle, and control input. A motor-driven liquid container undergoing horizontal motion is employed as a mathematical model to validate the proposed data-driven control methodology. The effectiveness of the MPA-based FOPID controller tuning approach is assessed through the convergence curve of the average fitness function, statistical results, Wilcoxon's rank test, and the ability to track the cart's horizontal position while minimizing the slosh angle and control input energy. The proposed data-driven tuning tool demonstrates superior performance compared to other recent metaheuristic optimization algorithms across the majority of evaluation criteria. |
| first_indexed | 2025-11-15T03:29:06Z |
| format | Article |
| id | ump-38209 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:29:06Z |
| publishDate | 2023 |
| publisher | International Information and Engineering Technology Association |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-382092023-08-02T07:53:19Z http://umpir.ump.edu.my/id/eprint/38209/ Data-driven fractional-order PID controller tuning for liquid slosh suppression using marine predators algorithm Mohd Zaidi, Mohd Tumari Mohd Ashraf, Ahmad Mohd Helmi, Suid Mohd Riduwan, Ghazali Shahrizal, Saat TK Electrical engineering. Electronics Nuclear engineering Traditional control system development for liquid slosh problems often relies on model-based approaches, which are challenging to implement in practice due to the chaotic and complex nature of fluid motion in containers. In response, this study introduces a data-driven fractional-order PID (FOPID) controller designed using the Marine Predators Algorithm (MPA) for suppressing liquid slosh. The MPA serves as a data-driven tuning tool to optimize the FOPID controller parameters based on a fitness function comprising the total norms of tracking error, slosh angle, and control input. A motor-driven liquid container undergoing horizontal motion is employed as a mathematical model to validate the proposed data-driven control methodology. The effectiveness of the MPA-based FOPID controller tuning approach is assessed through the convergence curve of the average fitness function, statistical results, Wilcoxon's rank test, and the ability to track the cart's horizontal position while minimizing the slosh angle and control input energy. The proposed data-driven tuning tool demonstrates superior performance compared to other recent metaheuristic optimization algorithms across the majority of evaluation criteria. International Information and Engineering Technology Association 2023-06 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/38209/1/Data-Driven%20Fractional-Order%20PID%20Controller%20Tuning%20for%20Liquid%20Slosh%20Suppression.pdf Mohd Zaidi, Mohd Tumari and Mohd Ashraf, Ahmad and Mohd Helmi, Suid and Mohd Riduwan, Ghazali and Shahrizal, Saat (2023) Data-driven fractional-order PID controller tuning for liquid slosh suppression using marine predators algorithm. Traitement du Signal, 40 (3). pp. 885-894. ISSN 0765-0019. (Published) https://doi.org/10.18280/ts.400305 https://doi.org/10.18280/ts.400305 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Mohd Zaidi, Mohd Tumari Mohd Ashraf, Ahmad Mohd Helmi, Suid Mohd Riduwan, Ghazali Shahrizal, Saat Data-driven fractional-order PID controller tuning for liquid slosh suppression using marine predators algorithm |
| title | Data-driven fractional-order PID controller tuning for liquid slosh suppression using marine predators algorithm |
| title_full | Data-driven fractional-order PID controller tuning for liquid slosh suppression using marine predators algorithm |
| title_fullStr | Data-driven fractional-order PID controller tuning for liquid slosh suppression using marine predators algorithm |
| title_full_unstemmed | Data-driven fractional-order PID controller tuning for liquid slosh suppression using marine predators algorithm |
| title_short | Data-driven fractional-order PID controller tuning for liquid slosh suppression using marine predators algorithm |
| title_sort | data-driven fractional-order pid controller tuning for liquid slosh suppression using marine predators algorithm |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/38209/ http://umpir.ump.edu.my/id/eprint/38209/ http://umpir.ump.edu.my/id/eprint/38209/ http://umpir.ump.edu.my/id/eprint/38209/1/Data-Driven%20Fractional-Order%20PID%20Controller%20Tuning%20for%20Liquid%20Slosh%20Suppression.pdf |