Probabilistic Bi-Level Assessment and Adaptive Control Mechanism for Two-Tank Interacting System
Liquid level control is a fundamental aspect employed across various industries, where the precise regulation of liquid levels and flow rates is of utmost importance. The Proportional-integral-derivative (PID)controller is widely employed but in practice, the operation of a PID may not always align...
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| Format: | Article |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10290725/ |
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| author | Saibal Manna Deepak Kumar Singh Yazeed Yasin Ghadi Amr Yousef Hossam Kotb Kareem M. AboRas |
| author_facet | Saibal Manna Deepak Kumar Singh Yazeed Yasin Ghadi Amr Yousef Hossam Kotb Kareem M. AboRas |
| author_sort | Saibal Manna |
| collection | DOAJ |
| description | Liquid level control is a fundamental aspect employed across various industries, where the precise regulation of liquid levels and flow rates is of utmost importance. The Proportional-integral-derivative (PID)controller is widely employed but in practice, the operation of a PID may not always align with the desired outcome due to various factors such as system dynamic behavior, model uncertainties, time-varying parameters, and disturbances. To effectively address these challenges, the article proposes model reference adaptive control (MRAC) based on the Massachusetts Institute of technology (MIT) law feedback PID technique for a two-tank interacting system. The detailed comparative analysis is carried out in MATLAB/Simulink with open loop, PID, and MRAC in respect of time domain specifications. The proposed approach stability is verified using the Lyapunov approach. The robustness of the control mechanism is validated through probabilistic assessment by introducing a bi-level uncertainty framework such as gain mistuning and dynamic system behavior. In the first level, the gain mistuning is accomplished in three aspects i.e., fine-tuned, increased, and decrease gain. In the second level, it is considered that system behavior is dynamic in nature. Based on the findings, the MRAC-PID exhibits superior performance against uncertainties as compared to PID and MRAC with enhanced tracking rapidity, accuracy, and robustness. |
| first_indexed | 2024-03-11T14:38:21Z |
| format | Article |
| id | doaj.art-c126ebc3596e4e93b0ebcbac83281111 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-11T14:38:21Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-c126ebc3596e4e93b0ebcbac832811112023-10-30T23:00:41ZengIEEEIEEE Access2169-35362023-01-011111826811828010.1109/ACCESS.2023.332672710290725Probabilistic Bi-Level Assessment and Adaptive Control Mechanism for Two-Tank Interacting SystemSaibal Manna0https://orcid.org/0000-0003-0703-1371Deepak Kumar Singh1https://orcid.org/0000-0003-3086-4275Yazeed Yasin Ghadi2https://orcid.org/0000-0002-7121-495XAmr Yousef3https://orcid.org/0000-0003-0875-6462Hossam Kotb4https://orcid.org/0000-0002-4052-6731Kareem M. AboRas5https://orcid.org/0000-0003-0485-468XDepartment of Electrical and Electronics Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, IndiaDepartment of Electrical Engineering, National Institute of Technology, Jamshedpur, Jharkhand, IndiaDepartment of Computer Science and Software Engineering, Al Ain University, Abu Dhabi, United Arab EmiratesElectrical Engineering Department, University of Business and Technology, Jeddah, Saudi ArabiaElectrical Engineering Department, Faculty of Engineering, Alexandria University, Alexandria, EgyptElectrical Engineering Department, Faculty of Engineering, Alexandria University, Alexandria, EgyptLiquid level control is a fundamental aspect employed across various industries, where the precise regulation of liquid levels and flow rates is of utmost importance. The Proportional-integral-derivative (PID)controller is widely employed but in practice, the operation of a PID may not always align with the desired outcome due to various factors such as system dynamic behavior, model uncertainties, time-varying parameters, and disturbances. To effectively address these challenges, the article proposes model reference adaptive control (MRAC) based on the Massachusetts Institute of technology (MIT) law feedback PID technique for a two-tank interacting system. The detailed comparative analysis is carried out in MATLAB/Simulink with open loop, PID, and MRAC in respect of time domain specifications. The proposed approach stability is verified using the Lyapunov approach. The robustness of the control mechanism is validated through probabilistic assessment by introducing a bi-level uncertainty framework such as gain mistuning and dynamic system behavior. In the first level, the gain mistuning is accomplished in three aspects i.e., fine-tuned, increased, and decrease gain. In the second level, it is considered that system behavior is dynamic in nature. Based on the findings, the MRAC-PID exhibits superior performance against uncertainties as compared to PID and MRAC with enhanced tracking rapidity, accuracy, and robustness.https://ieeexplore.ieee.org/document/10290725/Two-tank interacting systemPIDmodel reference adaptive controller (MRAC)MIT lawMRAC-PID |
| spellingShingle | Saibal Manna Deepak Kumar Singh Yazeed Yasin Ghadi Amr Yousef Hossam Kotb Kareem M. AboRas Probabilistic Bi-Level Assessment and Adaptive Control Mechanism for Two-Tank Interacting System IEEE Access Two-tank interacting system PID model reference adaptive controller (MRAC) MIT law MRAC-PID |
| title | Probabilistic Bi-Level Assessment and Adaptive Control Mechanism for Two-Tank Interacting System |
| title_full | Probabilistic Bi-Level Assessment and Adaptive Control Mechanism for Two-Tank Interacting System |
| title_fullStr | Probabilistic Bi-Level Assessment and Adaptive Control Mechanism for Two-Tank Interacting System |
| title_full_unstemmed | Probabilistic Bi-Level Assessment and Adaptive Control Mechanism for Two-Tank Interacting System |
| title_short | Probabilistic Bi-Level Assessment and Adaptive Control Mechanism for Two-Tank Interacting System |
| title_sort | probabilistic bi level assessment and adaptive control mechanism for two tank interacting system |
| topic | Two-tank interacting system PID model reference adaptive controller (MRAC) MIT law MRAC-PID |
| url | https://ieeexplore.ieee.org/document/10290725/ |
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