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)
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Data-Driven Fractional-Order PID Controller Tuning for Liquid Slosh Suppression.pdf Available under License Creative Commons Attribution. Download (1MB) | Preview |
Abstract
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.
| Item Type: | Article |
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| Uncontrolled Keywords: | Data-driven control; Fractional order PID; Liquid slosh control; Marine Predators algorithm; Metaheuristic optimization |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Institute of Postgraduate Studies Faculty of Electrical and Electronic Engineering Technology |
| Depositing User: | Mrs Norsaini Abdul Samat |
| Date Deposited: | 02 Aug 2023 07:53 |
| Last Modified: | 02 Aug 2023 07:53 |
| URI: | http://umpir.ump.edu.my/id/eprint/38209 |
| Download Statistic: | View Download Statistics |
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