Liquid level control in two tanks spherical interacting system with fractional order proportional integral derivative controller using hybrid technique: A hybrid technique

Arivalahan, R.; Tamilarasan, P.; Kamalakannan, M.

doi:10.1016/j.advengsoft.2022.103316

Cited by 11 publications

(5 citation statements)

References 23 publications

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“…Arivalahan et al [76] introduced the CHGSO-FAT technique for liquid level control in a two-tank spherical interacting system using a Fractional Order Proportional Integral Derivative (FOPID) controller. The hybrid approach combines chaotic optimization with a Feedback Artificial tree, fine-tuning the FOPID controller with elevated fractional values for the derivative term.…”

Section: ) Chaotic Sequence-based Strategiesmentioning

confidence: 99%

Advances in Henry Gas Solubility Optimization: A Physics-Inspired Metaheuristic Algorithm With Its Variants and Applications

El-Shorbagy,

Bouaouda,

Nabwey

et al. 2024

IEEE Access

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The Henry Gas Solubility Optimization (HGSO) is a physics-based metaheuristic inspired by Henry's law, which describes the solubility of the gas in a liquid under specific pressure conditions. Since its introduction by Hashim et al. in 2019, HGSO has gained significant attention for its unique features, including minimal adaptive parameters and a balanced exploration-exploitation trade-off, leading to favorable convergence. This study provides an up-to-date survey of HGSO, covering the walk through the historical development of HGSO, its modifications, and hybridizations with other algorithms, showcasing its adaptability and potential for synergy. Recent variants of HGSO are categorized into modified, hybridized, and multi-objective versions, and the review explores its main applications, demonstrating its effectiveness in solving complex problems. The evaluation includes a discussion of the algorithm's strengths and weaknesses. This comprehensive review, featuring graphical and tabular comparisons, not only indicates potential future directions in the field but also serves as a valuable resource for researchers seeking a deep understanding of HGSO and its advanced versions. As physics-based metaheuristic algorithms gain prominence for solving intricate optimization problems, this study provides insights into the adaptability and applications of HGSO across diverse domains.

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Section: ) Chaotic Sequence-based Strategiesmentioning

confidence: 99%

Advances in Henry Gas Solubility Optimization: A Physics-Inspired Metaheuristic Algorithm With Its Variants and Applications

El-Shorbagy,

Bouaouda,

Nabwey

et al. 2024

IEEE Access

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“…Settling time, rise time, overshoot etc. performance indices are analyzed according to obtained data [7].…”

Section: Arivalahan Et Al Presented a Level Control Studymentioning

confidence: 99%

Liquid Level Control Interface Design on Simulink External Mode with Raspberry Pi

2023

1st International Conference on Modern and Advanced Research Icmar 2023

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Liquid level control in industrial applications is one of the classical control problems. The dynamic structure of two couple tank systems resembles many real systems such as boilers and oil refineries. It is the most controlled problem due to its non-linear structure and continuously changing phase properties. The liquid level of the tank is controlled by using a PI controller. The desired level is adjusted by using an ultrasonic sensor on the tank. The closed-loop system is operated by using a control interface designed by the Simulink program. The program prepared by Simulink is downloaded to Raspberry Pi over the Wi-Fi. The experimental input-output data of the system is provided by the external mode of Simulink. The user can adjust the speed of the fluid using the designed interface without a controller or control the liquid level by activating the controller on the same interface. This study provides great convenience to users to control and monitor the liquid level remotely.

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“…The QTP can be considered as a prototype of many industrial applications in the process industry involving liquid level control such as chemical and petrochemical plants [12]. Previous research has explored various control strategies for the QTP, including decentralized PI/PID controllers [9], [10], [13]- [21], fractional order PI control [22]- [25], Model Reference Adaptive Controller (MRAC) [13], [26], state error feedback linearization control method with disturbance observer (DOB) and gain [27]- [30], low-gain integral controllers [31], generalized predictive control (GPC) [32], and sliding mode control [12], [23], [33]- [37], optimal control [38]- [40], and intelligent control techniques [21], [39], [41]- [49].…”

Section: Introductionmentioning

confidence: 99%

Advanced Control for Quadruple Tank Process

Kasiyanto,

Firdaus,

Lailiyah

et al. 2024

J. Ilm. Tek. Elektro Komput. Dan Inform

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Liquid level control in two tanks spherical interacting system with fractional order proportional integral derivative controller using hybrid technique: A hybrid technique

Cited by 11 publications

References 23 publications

Advances in Henry Gas Solubility Optimization: A Physics-Inspired Metaheuristic Algorithm With Its Variants and Applications

Advances in Henry Gas Solubility Optimization: A Physics-Inspired Metaheuristic Algorithm With Its Variants and Applications

Liquid Level Control Interface Design on Simulink External Mode with Raspberry Pi

Advanced Control for Quadruple Tank Process

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