A Model Reference Adaptive Controller based Flamingo Search Algorithm for Liquid Level Control in Non-Linear Conical Tank System

Conical tanks (CTs) play a vital role in the process industry as they can prevent residues in the tank. On the other hand, liquid level controlling in a CT is a complicated process due to the non-linear cross-sectional area. The complexity in CTs is also increased by the limitation to manipulated va...

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Main Authors: Selvaraj S. P., Thiyagarajan R., Rajavenkatesan T
Format: Article
Language:English
Published: Sciendo 2025-06-01
Series:Measurement Science Review
Subjects:
Online Access:https://doi.org/10.2478/msr-2025-0013
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author Selvaraj S. P.
Thiyagarajan R.
Rajavenkatesan T
author_facet Selvaraj S. P.
Thiyagarajan R.
Rajavenkatesan T
author_sort Selvaraj S. P.
collection DOAJ
description Conical tanks (CTs) play a vital role in the process industry as they can prevent residues in the tank. On the other hand, liquid level controlling in a CT is a complicated process due to the non-linear cross-sectional area. The complexity in CTs is also increased by the limitation to manipulated variables, interactions in measurements, and frequent disturbances. The control of liquid levels in CTs is of great importance in the process industry. In this paper, the model reference adaptive control (MRAC) with the modified proportional integral derivative (MPID) controller is proposed to maintain the liquid level at the set points. Two proportional integral derivative (PID) controller blocks are used in the proposed MRAC. The controller parameters are tuned using flamingo search optimization algorithm (FSA) based on minimum mean square error (MSE). The proposed method is implemented in MATLAB/Simulink platform and the results are considered with respect to different set points and disturbance conditions. Also, the results are compared with the existing controllers such as proportional integral (PI), PID, fractional-order proportional integral (FOPI) and MRAC-PID. The results show that the proposed MRAC provides lower integral square error (ISE) and integral absolute error (IAE) values of 38.25 and 2167, respectively.
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institution Kabale University
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publishDate 2025-06-01
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spelling doaj-art-1a34dce043da45ec8645bfada0c3d2df2025-08-20T03:30:24ZengSciendoMeasurement Science Review1335-88712025-06-0125310010910.2478/msr-2025-0013A Model Reference Adaptive Controller based Flamingo Search Algorithm for Liquid Level Control in Non-Linear Conical Tank SystemSelvaraj S. P.0Thiyagarajan R.1Rajavenkatesan T2Department of Electronics and Communication Engineering, AVS Engineering College, Military Road, Ammapet, Salem, Tamil Nadu, 636003, IndiaDepartment of Electronics and Instrumentation Engineering, Faculty of Engineering and Technology, Annamalai University, Annamalai Nagar, Tamil Nadu, 608002, IndiaDepartment of Electronics Engineering (VLSIDT), K. S. Rangasamy College of Technology,Tiruchengode, Tamil Nadu, 637215, IndiaConical tanks (CTs) play a vital role in the process industry as they can prevent residues in the tank. On the other hand, liquid level controlling in a CT is a complicated process due to the non-linear cross-sectional area. The complexity in CTs is also increased by the limitation to manipulated variables, interactions in measurements, and frequent disturbances. The control of liquid levels in CTs is of great importance in the process industry. In this paper, the model reference adaptive control (MRAC) with the modified proportional integral derivative (MPID) controller is proposed to maintain the liquid level at the set points. Two proportional integral derivative (PID) controller blocks are used in the proposed MRAC. The controller parameters are tuned using flamingo search optimization algorithm (FSA) based on minimum mean square error (MSE). The proposed method is implemented in MATLAB/Simulink platform and the results are considered with respect to different set points and disturbance conditions. Also, the results are compared with the existing controllers such as proportional integral (PI), PID, fractional-order proportional integral (FOPI) and MRAC-PID. The results show that the proposed MRAC provides lower integral square error (ISE) and integral absolute error (IAE) values of 38.25 and 2167, respectively.https://doi.org/10.2478/msr-2025-0013model reference adaptive controllerflamingo search algorithmproportional integral derivativeprocess industryconical tankmean square errorliquid level
spellingShingle Selvaraj S. P.
Thiyagarajan R.
Rajavenkatesan T
A Model Reference Adaptive Controller based Flamingo Search Algorithm for Liquid Level Control in Non-Linear Conical Tank System
Measurement Science Review
model reference adaptive controller
flamingo search algorithm
proportional integral derivative
process industry
conical tank
mean square error
liquid level
title A Model Reference Adaptive Controller based Flamingo Search Algorithm for Liquid Level Control in Non-Linear Conical Tank System
title_full A Model Reference Adaptive Controller based Flamingo Search Algorithm for Liquid Level Control in Non-Linear Conical Tank System
title_fullStr A Model Reference Adaptive Controller based Flamingo Search Algorithm for Liquid Level Control in Non-Linear Conical Tank System
title_full_unstemmed A Model Reference Adaptive Controller based Flamingo Search Algorithm for Liquid Level Control in Non-Linear Conical Tank System
title_short A Model Reference Adaptive Controller based Flamingo Search Algorithm for Liquid Level Control in Non-Linear Conical Tank System
title_sort model reference adaptive controller based flamingo search algorithm for liquid level control in non linear conical tank system
topic model reference adaptive controller
flamingo search algorithm
proportional integral derivative
process industry
conical tank
mean square error
liquid level
url https://doi.org/10.2478/msr-2025-0013
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