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Reseach Article

Application of Optimization Technique to Tune PID Controller for a Level Process

by P Aravind, S. M. Giriraj Kumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 91 - Number 16
Year of Publication: 2014
Authors: P Aravind, S. M. Giriraj Kumar
10.5120/15965-5336

P Aravind, S. M. Giriraj Kumar . Application of Optimization Technique to Tune PID Controller for a Level Process. International Journal of Computer Applications. 91, 16 ( April 2014), 20-24. DOI=10.5120/15965-5336

@article{ 10.5120/15965-5336,
author = { P Aravind, S. M. Giriraj Kumar },
title = { Application of Optimization Technique to Tune PID Controller for a Level Process },
journal = { International Journal of Computer Applications },
issue_date = { April 2014 },
volume = { 91 },
number = { 16 },
month = { April },
year = { 2014 },
issn = { 0975-8887 },
pages = { 20-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume91/number16/15965-5336/ },
doi = { 10.5120/15965-5336 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:12:54.321825+05:30
%A P Aravind
%A S. M. Giriraj Kumar
%T Application of Optimization Technique to Tune PID Controller for a Level Process
%J International Journal of Computer Applications
%@ 0975-8887
%V 91
%N 16
%P 20-24
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In any processes industry, process variables that need to be controlled are temperature, level, pressure and flow. This paper deals with an application of genetic algorithm to find the PID controller values to control the liquid level in the cylindrical tank. A process is identified as first order plus dead time model (FOPTD) and is validated. The intension of this paper is to obtain a minimum rise time, minimum setting time, and stable controlled system by obtaining the PID controller using conventional tuning method and Genetic Algorithm optimization technique. The simulation analysis was carried out for the mentioned PID controller settings. From the results based on time domain analysis, it is proved that the PID values are obtained using GA optimization technique yield a better perform than the conventional tuning method.

References
  1. J. G. Ziegler and N. B. Nichols, "Optimum settings for automatic controllers," Trans. Amer. Soc. Mech. Eng. , vol. 64, pp. 759–768, 1942.
  2. G. H Cohen and G. A Coon: Theoretical Consideration of Retarded Control , Trans ASME 75,pp. 827/834,1953.
  3. Astrom, K J. ;. Hagglund . T , Automatic tuning of simple regulators with specifications on phase and amplitude margins, Automatica, 20,645- 651, 1984.
  4. D. R. Coughanowar (1991), Process Systems Analysis and Control, Tata McGraw Hill.
  5. W. B. Bequette (2003), Process Control Modeling and Simulation, Prentice Hall.
  6. S. M. Giri raj Kumar, R. Sivasankar, T. K. Radhakrishnan, V. Dharmalingam and N. Anantharaman , "Particle Swarm Optimization Technique Based Design of Pi Controller for a Real-Time Non-Linear Process", Instrumentation Science & Technology, Volume 36, Issue 5, 2008 .
  7. P. Aravind and S. M. GirirajKumar," Performance Optimization of PI Controller in Non Linear Process using Genetic Algorithm", International Journal of Current Engineering and Technology, Vol. 3, No. 5 (December 2013).
  8. P Aravind, M Valluvan, B Sangeetha (2014),"Model Based Controller Design for Level Process", International Journal for Computer Applications, Volume 88- Number 18.
Index Terms

Computer Science
Information Sciences

Keywords

level process PID controller Optimization Technique control system