Modeling of a Coupled Industrial Tank System with ANFIS

Engin, Seref Naci; Kuvulmaz, J.; Omurlu, Vasfi Emre

doi:10.1007/978-3-540-24694-7_83

Cited by 5 publications

(3 citation statements)

References 12 publications

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“…The FOPID controller is designed technique entails resolving five differential problems with five unknown factors, K P , K I , K D , λ. In comparison to the other difficulty of five nonlinear equations, the transfer function is quite important [18].…”

Section: Fopid Controllermentioning

confidence: 99%

A Novel ANFIS Based SMC with Fractional Order PID Controller

Jegatheesh¹,

Nisha²,

Kopperundevi³

2023

Intelligent Automation &Amp; Soft Computing

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Interacting The highest storage capacity of a circular tank makes it popular in process industries. Because of the varying surface area of the cross-sections of the tank, this two-tank level system has nonlinear characteristics. Controlling the flow rate of liquid is one of the most difficult challenges in the production process. This proposed effort is critical in preventing time delays and errors by managing the fluid level. Several scholars have explored and explored ways to reduce the problem of nonlinearity, but their techniques have not yielded better results. Different types of controllers with various techniques are implemented by the proposed system. Sliding Mode Controller (SMC) with Fractional Order PID Controller based on Intelligent Adaptive Neuro-Fuzzy Inference System (ANFIS) is a novel technique for liquid level regulation in an interconnected spherical tank system to avoid interferences and achieve better performance in comparison of rise time, settling time, and overshoot decrease. Evaluating the simulated results acquired by the controller yields the efficiency of the proposed system. The simulated results were produced using MATLAB 2018 and the FOMCON toolbox. Finally, the performance of the conventional controller (FOPID, PID-SMC) and proposed ANFIS based SMC-FOPID controllers are compared and analyzed the performance indices.

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Section: Fopid Controllermentioning

confidence: 99%

A Novel ANFIS Based SMC with Fractional Order PID Controller

Jegatheesh¹,

Nisha²,

Kopperundevi³

2023

Intelligent Automation &Amp; Soft Computing

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“…The valve/pump actuator can be also modeled as it is, in the fast, an important control element in the plant. The following differential equation describes the valve/pump actuator is dynamics [8]. The valve/pump actuator has been modeled in simulation for the nonlinear system and masked under JPEG Image as shown in Figure 4 and Figure 5 respectively.…”

Section: Mathematical Model Of Coupled-tank Systemmentioning

confidence: 99%

“…There are many of control strategies and methods in controlling the liquid level in the coupled-tank system such as hybrid control system consisting of a PID controller and a time optimal controller [3], Level Control of Cascade Coupled Flotation Tanks [4], Improved coupled tank liquid levels system based on swarm adaptive tuning of hybrid proportional-integral neural network controller [5], Sliding Mode Control of Coupled Tanks [6], Tuning of a Neuro-Fuzzy Controller by Genetic Algorithms with an Application to a Coupled-Tank Liquid-Level Control System. Engineering Applications of Artificial Intelligence [7], Modeling of a Coupled Industrial Tank System with ANFIS [8], Direct Model Reference Adaptive Control of Coupled Tank Liquid Level Control System [9], and robust control of a multivariable system [10].…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of a Nonlinear Coupled-Tank System Using PI Controller

Saad¹

2017

ujca

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In the process industry many of the control applications deal with liquid level, flow, temperature and pressure processes. This paper presents the approach of modeling and controller design of liquid level control system for a nonlinear Coupled-Tank System. First of all, the mathematical equations for the nonlinear system are explored. And then, proportional plus integral (PI) controller is designed to control the level of the second tank for the nonlinear model, through variable manipulation of water pump in the first tank. The simulation study is done using MATLAB and the performance analysis in time domain of the controller is identified. In addition, ITAE criterion is used to evaluate the controller performance. Finally, the simulation results indicate that the controller work very well and the proposed controller has the ability to reject the effect of the disturbance.

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