Simple tuned adaptive PI controller for conical tank process

Anand, S. Krishna; Aswin, V.; Sidharthan, Rakesh Kumar

doi:10.1109/iconraeece.2011.6129757

Cited by 11 publications

(7 citation statements)

References 9 publications

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“…So it is necessary to maintain the parameters of the process tank at particular set point. Most of the industries deal with non linear tanks like conical, spherical, hopper tanks [2]. The controlling of nonlinear nature of processing tank provides a challenging task in industries.…”

Section: Introductionmentioning

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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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: Introductionmentioning

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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“…Many applications namely automation in shipbuilding, monitoring of industrial flotation and angular measurement have been implemented with vision based computer interfacing [5][6][7][8]. A dynamic pattern based visual interfacing for automation using adaptive proportional−integral (PI) controller technique has been developed with low cost [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

A Novel Visual SISO and MIMO Computer Interface for Process Production System

Manikandan¹,

Tjprc²

2018

IJMPERD

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Computer based automation systems have found a wide range of applications in manufacturing and processing industries. To interface computer and control system, various standard industrial interfaces were used. Because of its complexity and high cost in some places, a custom model was built by a person having broad knowledge of computer and control system. Later on visual patterns based computer interfacing was introduced. This used less hardware when compared to the standard model. To further reduce its hardware complexity, in this paper, a modified vision based computer interfacing is introduced for single input single output (SISO) systems. This technique is further extended for multiple inputs and multiple output systems (MIMO). The working of the proposed interface modules were tested with the help of computer control based SISO conical liquid tank system and MIMO heat exchanger system.

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“…The conical tank is highly non linear. But stability of the system may be affected [7]. So model based controller design is implemented to maintain the desired level [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Model based Controller Design for Conical Tank System

AngelineVijula¹,

Vivetha²,

Gandhimathi³

et al. 2014

IJCA

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The control of liquid level is mandatory in process industries. But the control of nonlinear process is complex. Many process industries use conical tanks because of its non linear shape which contributes better drainage for solid mixtures, slurries and viscous liquids. So, level control of conical tank presents a challenging task due to its nonlinearity and constantly changing cross-section. The main objective is to implement the suitable controller design for conical tank system to maintain the desired level. In this paper it is proposed to obtain the mathematical modelling of a conical tank system and to design model based controller (Internal Model Control) for controlling the level in it. The controller will be simulated using MATLAB SIMULINK. By using the advanced control scheme it is expected to have better closed loop performance and robustness when compared to PID controller.

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Simple tuned adaptive PI controller for conical tank process

Cited by 11 publications

References 9 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

A Novel Visual SISO and MIMO Computer Interface for Process Production System

Model based Controller Design for Conical Tank System

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