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Reseach Article

Linear and Nonlinear Model Predictive Control of Quadruple Tank Process

by P. Srinivasarao, P. Subbaiah
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 66 - Number 20
Year of Publication: 2013
Authors: P. Srinivasarao, P. Subbaiah
10.5120/11202-6396

P. Srinivasarao, P. Subbaiah . Linear and Nonlinear Model Predictive Control of Quadruple Tank Process. International Journal of Computer Applications. 66, 20 ( March 2013), 28-34. DOI=10.5120/11202-6396

@article{ 10.5120/11202-6396,
author = { P. Srinivasarao, P. Subbaiah },
title = { Linear and Nonlinear Model Predictive Control of Quadruple Tank Process },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 66 },
number = { 20 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 28-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume66/number20/11202-6396/ },
doi = { 10.5120/11202-6396 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:22:58.352945+05:30
%A P. Srinivasarao
%A P. Subbaiah
%T Linear and Nonlinear Model Predictive Control of Quadruple Tank Process
%J International Journal of Computer Applications
%@ 0975-8887
%V 66
%N 20
%P 28-34
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In a multi input and output (MIMO) process mathematical modeling of the physical systems has gained importance due to the complexity of interactions within the system. All the parameters used in a model cannot be determined accurately. The major problem in a multivariable process is that loop interaction can arise and cause difficulty in feedback control design. This problem can be solved using centralized or decentralized controllers. One of the centralized techniques is model predictive control, which can be measured current to predicted future values of outputs. In this paper, model predictive control (MPC) technology for both linear and nonlinear model of quadruple tank process is proposed. It consists of four inter connected water tanks and two pumps as shown in figure 1. A general MPC control is presented, and approaches taken for the different aspects of the calculation are described. It is shown that MPC control is more stable, responsive and robust.

References
  1. P. Srinivasarao and Dr. P. Subbaiah, "Decoupled control strategy for quadruple tank process," CIIT International Journal of Programmable Circuit and System, Vol. 4, No. 6, pp. 287-296, May 2012.
  2. P. Srinivasarao and Dr. P. Subbaiah, "Comparative study for Quadruple Tank Process with Coefficient Diagram Method," IFRSA International Journal of Electronics Circuits and System, Vol. 1, Issue 2, pp. 90-99, July 2012.
  3. K. H. Johansson, "The Quadruple-Tank Process: A Multivariable Laboratory Process with an Adjustable Zero," IEEE Transactions on Control Systems Technology, pp. 456–465, 2000.
  4. Qamar Saeed, Vali Uddin and Reza Katebi, "Multivariable Predictive PID Control for Quadruple Tank," World Academy of Science, Engineering and Technology,2010.
  5. M. Alamir, G. Bornard, " Stability of a truncated infinite constrained receding horizon scheme: the general discrete nonlinear case," Elsevier Science Ltd , Vol. 31, No. 9, pp. 1353-1356, Sep 1995.
  6. Zoltan K. Nagy Richard D. Braatz, "Roboust Nonlinear Model Predictive Control of Batch Processses", AIChe Journal, Vol. 49 No. 7, July 2003.
  7. M. J. Lengare, R. H. Chile, L. M. Waghmare and Bhavesh Parmar, "Auto Tuning of PID Controller for MIMO Processes," World Academy of Science, Engineering and Technology, 2008.
  8. Sergey Edward Lyshevski, Control system theory with Engineering Applications, Jaico Publishers, 2003.
  9. Ashish Tewari, Modern Conrol Design with MATLAB and SIMULINK, John Willy & Sons, Ltd, 2009.
  10. Dale E. Seborg,Thomas F. Edgar and Duncan A. Mellichamp , Process Dynamics and Control, John Willy & Sons, Ltd, 2006.
  11. B. Wayane Bequette , Process Control Modeling, Design and Simulation, Prentice Hall,2003.
Index Terms

Computer Science
Information Sciences

Keywords

MIMO MPC Quadruple Tank Process Robust