A Comparative Study on Fuzzy Logic-Based Liquid Level Control Systems with Integrated Industrial Communication Technology
This study presents an advanced control system for liquid level regulation, comparing a traditional proportional-integral-derivative (PID) controller with a fuzzy logic controller. The system integrates a real-time monitoring and control interface, allowing flexible adjustments for research and trai...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-03-01
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| Series: | Computation |
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| Online Access: | https://www.mdpi.com/2079-3197/13/3/60 |
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| author | Hasan Mhd Nazha Ali Mahmoud Youssef Mohamad Ayham Darwich Their Ahmad Ibrahim Hala Essa Homsieh |
| author_facet | Hasan Mhd Nazha Ali Mahmoud Youssef Mohamad Ayham Darwich Their Ahmad Ibrahim Hala Essa Homsieh |
| author_sort | Hasan Mhd Nazha |
| collection | DOAJ |
| description | This study presents an advanced control system for liquid level regulation, comparing a traditional proportional-integral-derivative (PID) controller with a fuzzy logic controller. The system integrates a real-time monitoring and control interface, allowing flexible adjustments for research and training applications. Unlike the PID controller, which relies on predefined tuning parameters, the fuzzy logic controller dynamically adjusts control actions based on system behavior, making it more suitable for processes with non-linear dynamics. The experimental results highlight the superior performance of the fuzzy logic controller over the PID controller. Specifically, the fuzzy logic controller achieved a 21% reduction in maximum overshoot, a 62% decrease in peak time, and an 83% reduction in settling time. These improvements demonstrate its ability to handle process fluctuations more efficiently and respond rapidly to changes in liquid levels. By offering enhanced stability and adaptability, the fuzzy logic controller presents a viable alternative for liquid level control applications. Furthermore, this research contributes to the development of flexible and high-performance control solutions that can be implemented in both industrial and educational settings. The proposed system serves as a cost-effective platform for hands-on learning in control system design, reinforcing contemporary engineering education and advancing intelligent control strategies for industrial automation. |
| format | Article |
| id | doaj-art-2d8800fbd7794602bda3a93662da30ff |
| institution | Kabale University |
| issn | 2079-3197 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Computation |
| spelling | doaj-art-2d8800fbd7794602bda3a93662da30ff2025-08-20T03:43:33ZengMDPI AGComputation2079-31972025-03-011336010.3390/computation13030060A Comparative Study on Fuzzy Logic-Based Liquid Level Control Systems with Integrated Industrial Communication TechnologyHasan Mhd Nazha0Ali Mahmoud Youssef1Mohamad Ayham Darwich2Their Ahmad Ibrahim3Hala Essa Homsieh4Faculty of Mechanical Engineering, Otto Von Guericke University Magdeburg, Universitätsplatz 2, 39106 Magdeburg, GermanyFaculty of Technical Engineering, University of Tartous, Tartous P.O. Box 2147, SyriaFaculty of Technical Engineering, University of Tartous, Tartous P.O. Box 2147, SyriaFaculty of Technical Engineering, University of Tartous, Tartous P.O. Box 2147, SyriaFaculty of Technical Engineering, University of Tartous, Tartous P.O. Box 2147, SyriaThis study presents an advanced control system for liquid level regulation, comparing a traditional proportional-integral-derivative (PID) controller with a fuzzy logic controller. The system integrates a real-time monitoring and control interface, allowing flexible adjustments for research and training applications. Unlike the PID controller, which relies on predefined tuning parameters, the fuzzy logic controller dynamically adjusts control actions based on system behavior, making it more suitable for processes with non-linear dynamics. The experimental results highlight the superior performance of the fuzzy logic controller over the PID controller. Specifically, the fuzzy logic controller achieved a 21% reduction in maximum overshoot, a 62% decrease in peak time, and an 83% reduction in settling time. These improvements demonstrate its ability to handle process fluctuations more efficiently and respond rapidly to changes in liquid levels. By offering enhanced stability and adaptability, the fuzzy logic controller presents a viable alternative for liquid level control applications. Furthermore, this research contributes to the development of flexible and high-performance control solutions that can be implemented in both industrial and educational settings. The proposed system serves as a cost-effective platform for hands-on learning in control system design, reinforcing contemporary engineering education and advancing intelligent control strategies for industrial automation.https://www.mdpi.com/2079-3197/13/3/60liquid level controlfuzzy logic controllerPID controller performance |
| spellingShingle | Hasan Mhd Nazha Ali Mahmoud Youssef Mohamad Ayham Darwich Their Ahmad Ibrahim Hala Essa Homsieh A Comparative Study on Fuzzy Logic-Based Liquid Level Control Systems with Integrated Industrial Communication Technology Computation liquid level control fuzzy logic controller PID controller performance |
| title | A Comparative Study on Fuzzy Logic-Based Liquid Level Control Systems with Integrated Industrial Communication Technology |
| title_full | A Comparative Study on Fuzzy Logic-Based Liquid Level Control Systems with Integrated Industrial Communication Technology |
| title_fullStr | A Comparative Study on Fuzzy Logic-Based Liquid Level Control Systems with Integrated Industrial Communication Technology |
| title_full_unstemmed | A Comparative Study on Fuzzy Logic-Based Liquid Level Control Systems with Integrated Industrial Communication Technology |
| title_short | A Comparative Study on Fuzzy Logic-Based Liquid Level Control Systems with Integrated Industrial Communication Technology |
| title_sort | comparative study on fuzzy logic based liquid level control systems with integrated industrial communication technology |
| topic | liquid level control fuzzy logic controller PID controller performance |
| url | https://www.mdpi.com/2079-3197/13/3/60 |
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