Modeling of the modified Quadruple-Tank Process

Numsomran, A.; Tipsuwanporn, V.; Tirasesth, Kitti

doi:10.1109/sice.2008.4654768

Cited by 15 publications

(7 citation statements)

References 5 publications

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“…Equation 9is used to obtain a block diagram which is simulated using MATLAB Simulink 2016a. The Laplace transform of equations (8) and (9) are taken to obtain the transfer function of the system.…”

Section: Fig 3 Two Interacting Tank Systemmentioning

confidence: 99%

Modelling of Level Process

Thomas*¹,

Manimozhi²,

Chitra³

et al. 2019

IJITEE

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Industries such as, textile, food processing, chemical and water treatment plants are part of our global development. The efficiency of processes used by them is always a matter of great importance. Efficiency can be greatly improved by obtaining an exact model of the process. This paper studies the two main classifications of model development – First-Principles Model and Empirical Model. First-Principles Model can be obtained with an understanding of the basic physics of the system. On the other hand, Empirical Models require only the input-output data and can thus factor in process non-linearity, disturbances and unexpected errors. This paper utilizes the System Identification Toolbox in MATLAB for empirical model development. Models are developed for a single tank system, a classic SISO problem and for the two interacting tank system. Both systems are studied with respect to three operating points, each from a local linear region. The obtained models are validated with the real-time setup. They are satisfactory in their closeness to the real time process and hence deemed fit for use in control algorithms and other process manipulations

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Section: Fig 3 Two Interacting Tank Systemmentioning

confidence: 99%

Modelling of Level Process

Thomas*¹,

Manimozhi²,

Chitra³

et al. 2019

IJITEE

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“…The quadrupletank system is based on [10] and for the modified part, we include disturbances in the upper tanks to represents the stochasticity. While [3], [4], [7] has the opportunity to work with the actual pilot plant, this work is done in a simulation environment by designing a virtual process plant. Without an actual process plant, an accurate first-principles model can be achieved by describing the non-linear dynamics of system which the equations are derived from the fundamental physical processes [11].…”

Section: Department Of Applied Mathematics and Computer Sciencementioning

confidence: 99%

“…Therefore, it is important to have profound understanding of the underlying dynamic behaviour of the system and its potentials before implying any control strategies. The modeling of the system with different approaches have been extensively described in [7], [S], [9] whereas here it is described by deterministic and stochastic nonlinear model.…”

Section: Introductionmentioning

confidence: 99%

Modeling and simulation of a modified quadruple tank system

Azam

Jørgensen

2015

2015 IEEE International Conference on Control System, Computing and Engineering (ICCSCE)

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Quadruple tank process is a non-linear system, have multiple manipulated and controlled variables and have significant cross binding parameters. Furthermore, the modified system is affected by some unknown measurement noise and stochastic disturbance variables which make it more complicated to model and control. In this paper, a modified quadruple-tank system has been described, all the important variables has been outlined and a mathematical model has been presented. We developed deterministic and stochastic models using differential equations and simulate the models using Matlab. Subsequently, steady state analysis is included to determine the operating window for the set points. The purpose to have an operating window for the system is to distinguish the range of feasible region to select the set points for optimum operations. Therefore, in this paper a virtual process plant is created, we investigate the operating window and construct the model in an appropriate form for future controller design.

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“…If the mathematical model of QTP is being integrated to obtain h 1 , h 2 , h 3 and h 4 it produces an infinite series of values [14]. It is common practice to approximate a function by using a finite number of terms of its Taylor series.The general form of differential equation can be represented by,…”

Section: Taylor Series and Jacobian Conversionmentioning

confidence: 99%

Analysis of Modelling Methods of Quadruple Tank System

Jayaprakash¹,

Senthilrajan²,

T³

2014

IJAREEIE

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ABSTRACT:Many application processes in industries typically requires control over at least two variables. This could use at least two control loops and makes it as multi-input multi-output (MIMO) or multivariable systems. Quadruple tank process (QTP) is one of the multivariable laboratory processes with four interconnected water tanks. This novel deals with mathematical modeling of the QTP by linearization principles and Jacobian matrix formation to represent the system in state space model. The linearized dynamics of the system have a multivariable zero that can be placed in both the left and right half of s-plane. The interaction between the control loops are studied using RGA and analyzed using LabVIEW. This process is ideal for illustrating multivariable control concept and also the performance limitations due to multivariable right half-plane zeros.

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Modeling of the modified Quadruple-Tank Process

Cited by 15 publications

References 5 publications

Modelling of Level Process

Modelling of Level Process

Modeling and simulation of a modified quadruple tank system

Analysis of Modelling Methods of Quadruple Tank System

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