Conical tank level control using fractional order PID controllers: a simulated and experimental study

Jauregui, Cristian; Duarte‐Mermoud, Manuel A.; Orostica, Rodrigo; Travieso-Torres, Juan Carlos; Beytia, Orlando

doi:10.1007/s11768-016-6107-5

Cited by 19 publications

(3 citation statements)

References 11 publications

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“…The issue of tuning parameters of controllers is the point at which the parameters characterizing the elements of the framework are unknown [1]. Ziegler Nicholas tuning method is the most common method, which is used to deal this problem.…”

Section: Ziegler Nicholas Controller Tuning Methodsmentioning

confidence: 99%

“…Ziegler Nicholas tuning method is the most common method, which is used to deal this problem. These unknown parameters can be gotten either from the mathematical model as well as experimentally [1,5]. The hopper process tank response when it is empowered with a standard step input signal is accepted to have a comparable response as appeared in the Figure 2.…”

Section: Ziegler Nicholas Controller Tuning Methodsmentioning

confidence: 99%

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Level Control of Nonlinear Hopper Tank Process in Pharmaceutical Industry using Ziegler Nicholas and Cohen Coon Tuning Techniques

Vinothkumar¹,

Esakkiappan²

2019

IJITEE

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In this paper, the design and simulated results of conventional controllers on non linear hopper tank system are presented to attain a desired level of a process tank. The hopper tank non linear systems are used for this analysis which is also used in the field of Pharmaceutical, Petro chemical industries. Evacuation of products without wastage is possible due to non-linearity of hopper tank’s cross sectional behavior of the process. The open loop performance are determined to obtain the desired level control with conventional PI, PID controllers for various tuning techniques like step response based Ziegler Nicholas and open loop Cohen coon tuning method. The major advantage of this method is simplicity. The relationship between these two tuning systems is reproduced by Matlab Simulink model & Compared the presentation of controllers with hopper process tank.

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Section: Ziegler Nicholas Controller Tuning Methodsmentioning

confidence: 99%

Section: Ziegler Nicholas Controller Tuning Methodsmentioning

confidence: 99%

Level Control of Nonlinear Hopper Tank Process in Pharmaceutical Industry using Ziegler Nicholas and Cohen Coon Tuning Techniques

Vinothkumar¹,

Esakkiappan²

2019

IJITEE

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“…This method does not give a clear picture of how well the whole system works because it only tests set-point tracking. In other words, it does not consider the disturbances during the validation of the system [20].…”

Section: Introductionmentioning

confidence: 99%

Reinforcement-Learning-Based Level Controller for Separator Drum Unit in Refinery System

Ali

Rashid

Alhasnawi³

et al. 2023

Mathematics

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The Basrah Refinery, Iraq, similarly to other refineries, is subject to several industrial constraints. Therefore, the main challenge is to optimize the parameters of the level controller of the process unit tanks. In this paper, a PI controller is designed for these important processes in the Basrah Refinery, which is a separator drum (D5204). Furthermore, the improvement of the PI controller is achieved under several constraints, such as the inlet liquid flow rate to tank (m2) and valve opening in yi%, by using two different techniques: the first one is conducted using a closed-Loop PID auto-tuner that is based on a frequency system estimator, and the other one is via the reinforcement learning approach (RL). RL is employed through two approaches: the first is calculating the optimal PI parameters as an offline tuner, and the second is using RL as an online tuner to optimize the PI parameters. In this case, the RL system works as a PI-like controller of RD5204. The mathematical model of the RD5204 system is derived and simulated using MATLAB. Several experiments are designed to validate the proposed controller. Further, the performance of the proposed system is evaluated under several industrial constraints, such as disturbances and noise, in which the results indict that RL as a tuner for the parameters of the PI controller is superior to other methods. Furthermore, using RL as a PI-like controller increases the controller’s robustness against uncertainty and perturbations.

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Fractional Order Integral Controller Design Based on a Bode’s Ideal Transfer Function: Application to the Control of a Single Tank Process

Boussalem

Mansouri

Bettayeb

et al. 2020

Lecture Notes in Electrical Engineering

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Conical tank level control using fractional order PID controllers: a simulated and experimental study

Cited by 19 publications

References 11 publications

Level Control of Nonlinear Hopper Tank Process in Pharmaceutical Industry using Ziegler Nicholas and Cohen Coon Tuning Techniques

Level Control of Nonlinear Hopper Tank Process in Pharmaceutical Industry using Ziegler Nicholas and Cohen Coon Tuning Techniques

Reinforcement-Learning-Based Level Controller for Separator Drum Unit in Refinery System

Fractional Order Integral Controller Design Based on a Bode’s Ideal Transfer Function: Application to the Control of a Single Tank Process

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