Model based Controller Design for a Spherical Tank

Bharathikannan, R.; Selvakumar, C.; Kalpana, A M

doi:10.9790/1676-09267479

Cited by 5 publications

(2 citation statements)

References 1 publication

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“…This method performs well in time domain specifications, error minimization and external disturbance rejection [3]. Bharathi et al (2014) presented the method to maintain the liquid level in a desired value by using Model-Based Controller and outperform overshoot reduction, better rise time, settling time, and error performance indices [4]. Sakthivel et al (2013) A method for controlling a circular tank system's water level the proposed.…”

Section: Introductionmentioning

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: Introductionmentioning

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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“…A tracking control concept for boom cranes was suggested by Neupert et al [5] to make exact trajectory tracking behavior. Krishna et al [6] proposed a Model Reference Adaptive Control (MRAC) using MIT rule applied to a Single Input Single Output (SISO) nonlinear process spherical tank system. A Robust Model Reference Adaptive Control (MRAC) was designed by Babu [7] for the Single Input Single Output (SISO) spherical tank level control system with performance problem Coefficient Diagram Method (CDM).…”

Section: Introductionmentioning

confidence: 99%

Optimal Model Reference Control Scheme Design for Nonlinear Strict-Feedback Systems

Hadi¹,

Ali²

2020

ETJ

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In this paper, a new design of the model reference control scheme is proposed in a class of nonlinear strict-feedback system. First, the system is analyzed using Lyapunov stability analysis. Next, a model reference is used to improve system performance. Then, the Integral Square Error (ISE) is considered as a cost function to drive the error between the reference model and the system to zero. After that, a powerful metaheuristic optimization method is used to optimize the parameters of the proposed controller. Finally, the results show that the proposed controller can effectively compensate for the strictly-feedback nonlinear system with more desirable performance.

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Online identification using internal model control

Mohanraj¹,

Ramya²

2015

2015 Online International Conference on Green Engineering and Technologies (IC-GET)

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Model based Controller Design for a Spherical Tank

Cited by 5 publications

References 1 publication

A Novel ANFIS Based SMC with Fractional Order PID Controller

A Novel ANFIS Based SMC with Fractional Order PID Controller

Optimal Model Reference Control Scheme Design for Nonlinear Strict-Feedback Systems

Online identification using internal model control

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