Predictive control algorithm based on integral action- Design and implementation on a conical tank system

C. Shreesha; Vinayambika S. Bhat; I. Thirunavukkarasu; S. Shanmuga Priya

doi:10.1051/matecconf/201815306010

Predictive control algorithm based on integral action- Design and implementation on a conical tank system

C. Shreesha, Vinayambika S. Bhat, I. Thirunavukkarasu, S. Shanmuga Priya

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

This article presents a Model Predictive Control (MPC) algorithm based on integral action. Level control in process industry is challenging because of nonlinearity presents in the shape of the tank, actuators etc. The conical tank system is taken as benchmark process in the present study. It is Single Input Single Output (SISO) nonlinear system whose cross-sectional area varies along the tank height. The control algorithm is simulated using MATLAB m-file environment. The effectiveness of the predictive algorithm is also presented by experimentally validating it on a conical tank system at different heights. The interfacing of m-file with the experimental setup is the challenging task faced during the initial stage of experimental validation.

Original language	English
Article number	06010
Journal	MATEC Web of Conferences
Volume	153
DOIs	https://doi.org/10.1051/matecconf/201815306010
Publication status	Published - 26-02-2018
Event	4th International Conference on Mechatronics and Mechanical Engineering, ICMME 2017 - Kuala Lumpur, Malaysia Duration: 28-11-2017 → 30-11-2017

All Science Journal Classification (ASJC) codes

General Chemistry
General Materials Science
General Engineering

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10.1051/matecconf/201815306010

Cite this

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title = "Predictive control algorithm based on integral action- Design and implementation on a conical tank system",

abstract = "This article presents a Model Predictive Control (MPC) algorithm based on integral action. Level control in process industry is challenging because of nonlinearity presents in the shape of the tank, actuators etc. The conical tank system is taken as benchmark process in the present study. It is Single Input Single Output (SISO) nonlinear system whose cross-sectional area varies along the tank height. The control algorithm is simulated using MATLAB m-file environment. The effectiveness of the predictive algorithm is also presented by experimentally validating it on a conical tank system at different heights. The interfacing of m-file with the experimental setup is the challenging task faced during the initial stage of experimental validation.",

author = "C. Shreesha and Bhat, {Vinayambika S.} and I. Thirunavukkarasu and Priya, {S. Shanmuga}",

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AU - Shreesha, C.

AU - Bhat, Vinayambika S.

AU - Thirunavukkarasu, I.

AU - Priya, S. Shanmuga

PY - 2018/2/26

Y1 - 2018/2/26

N2 - This article presents a Model Predictive Control (MPC) algorithm based on integral action. Level control in process industry is challenging because of nonlinearity presents in the shape of the tank, actuators etc. The conical tank system is taken as benchmark process in the present study. It is Single Input Single Output (SISO) nonlinear system whose cross-sectional area varies along the tank height. The control algorithm is simulated using MATLAB m-file environment. The effectiveness of the predictive algorithm is also presented by experimentally validating it on a conical tank system at different heights. The interfacing of m-file with the experimental setup is the challenging task faced during the initial stage of experimental validation.

AB - This article presents a Model Predictive Control (MPC) algorithm based on integral action. Level control in process industry is challenging because of nonlinearity presents in the shape of the tank, actuators etc. The conical tank system is taken as benchmark process in the present study. It is Single Input Single Output (SISO) nonlinear system whose cross-sectional area varies along the tank height. The control algorithm is simulated using MATLAB m-file environment. The effectiveness of the predictive algorithm is also presented by experimentally validating it on a conical tank system at different heights. The interfacing of m-file with the experimental setup is the challenging task faced during the initial stage of experimental validation.

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DO - 10.1051/matecconf/201815306010

M3 - Conference article

AN - SCOPUS:85043285790

SN - 2261-236X

VL - 153

JO - MATEC Web of Conferences

JF - MATEC Web of Conferences

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T2 - 4th International Conference on Mechatronics and Mechanical Engineering, ICMME 2017

Y2 - 28 November 2017 through 30 November 2017

ER -

Predictive control algorithm based on integral action- Design and implementation on a conical tank system

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