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Reseach Article

Model based Controller Design for Level Process

by P. Aravind, M. Valluvan, B. Sangeetha
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 88 - Number 18
Year of Publication: 2014
Authors: P. Aravind, M. Valluvan, B. Sangeetha
10.5120/15455-4012

P. Aravind, M. Valluvan, B. Sangeetha . Model based Controller Design for Level Process. International Journal of Computer Applications. 88, 18 ( February 2014), 29-33. DOI=10.5120/15455-4012

@article{ 10.5120/15455-4012,
author = { P. Aravind, M. Valluvan, B. Sangeetha },
title = { Model based Controller Design for Level Process },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 88 },
number = { 18 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 29-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume88/number18/15455-4012/ },
doi = { 10.5120/15455-4012 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:07:59.735417+05:30
%A P. Aravind
%A M. Valluvan
%A B. Sangeetha
%T Model based Controller Design for Level Process
%J International Journal of Computer Applications
%@ 0975-8887
%V 88
%N 18
%P 29-33
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Control of process parameters are important in the chemical process industries. Proportional, integral and derivative controller is the most commonly used to form a closed loop system for the effective control of process parameter. In this paper, a liquid level in the cylindrical tank is to be controlled at setpoint value. At first, The model for such a real time process is identified and validated. To obtain the effective controller parameters settings, a conventional PID control model based PID were analyzed and the efficiency of the model based PID controller is highlighted with aid of time domain analysis. The ability of the designed model based controller in terms of tracking set point is also compared and simulation results are shown.

References
  1. J. G. Ziegler and N. B. Nichols, "Optimum settings for automatic controllers," Transactions of American Society of Mechanical Engineers, Vol. 64, 1942, pp. 759-768.
  2. G. H. Cohen and G. A. Coon, "Theoretical investigation of retarded control," Transactions of American Society of Mechanical Engineers, Vol. 75, 1953, pp. 827-834.
  3. Astrom, K J. ;. Hagglund . T,1984, Automatic tuning of simple regulators with specifications on phase and amplitude margins, Automatica, 20,645-651.
  4. B. Wayne Bequette, Process Control: Modeling, Design and Simulation, Prentice Hall (2003) of india.
  5. Asriel U. Levin and Kumpati S. Narendra, Control of nonlinear dynamical systems using Neural Networks- Part II : observability, identification and control, IEEE Transactions on Neural Networks, Vol. 7, No. 1, January 1996.
  6. Simon Fabri and Visakan Kadirkamanathan, Dynamic structure neural networks for stable adaptive control of nonlinear systems, IEEE Transactions on Neural Networks, Vol. 7, No. 5, September1996.
  7. S. Nithya, Abhay Singh Gour, N. Sivakumaran, T. K. Radhakrishnan and N. Anantharaman, Model Based Controller Design for Shell and Tube Heat Exchanger, Sensors and Transducers Journal, Vol. 84, Issue 10, October 2007, pp. 1677-1686.
  8. D. E Rivera, M. Morari, S. Skogestad, Internal model control. PID controller design, J. Ind. Eng. Chem. Res. , 25, 1986, pp. 252-265.
  9. M. Morari and E. Zafiriou, Robust process control, Englewood Cliffs, Prentice-Hall, 1989.
  10. D. R. Coughanowar, Process Systems Analysis and Control, Tata McGraw Hill, 1991.
  11. W. B. Bequette, Process Control Modeling and Simulation, Prentice Hall, 2003.
  12. S. Skogestad, Simple analytical rules for model reduction and PID controller tuning, J. Process Control, 13, 2003, pp. 291-309.
  13. Sundaresan, K. R. , Krishnaswamy, R. R. , Estimation of time delay, time constant parameters in Time, Frequency and Laplace Domains, Journal of Chemical Engineering. , 56, 1978, p. 257.
  14. P. Aravind, M. Valluvan,M. Lavanya, Auto Tuning PID Controller for Multi-tank Process, International Journal of Computer Applications (0975 – 8887) Volume 84 – No 4, December 2013
  15. N. NithyaRani, International Journal of Advanced Research in Electrical and Electronics Engineering (IJAREEE), Advanced Process Analysis on LabVIEW, Vol. 1, No. 1 (November 2013).
Index Terms

Computer Science
Information Sciences

Keywords

PID Controller IMC Level Process Z-N