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Optimization of a Temperature Control Loop using Self Tuning Regulator

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International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 61 - Number 9
Year of Publication: 2013
Authors:
K. Prabhu
V. Murali Bhaskaran
10.5120/9959-4607

K Prabhu and Murali V Bhaskaran. Article: Optimization of a Temperature Control Loop using Self Tuning Regulator. International Journal of Computer Applications 61(9):39-45, January 2013. Full text available. BibTeX

@article{key:article,
	author = {K. Prabhu and V. Murali Bhaskaran},
	title = {Article: Optimization of a Temperature Control Loop using Self Tuning Regulator},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {61},
	number = {9},
	pages = {39-45},
	month = {January},
	note = {Full text available}
}

Abstract

Continuous Stirred Tank Reactor (CSTR) plays an important role in the process industries. It helps for maintaining the temperature of the liquid in the reactors. This paper deals with the comparison of adaptive control and conventional PID control in CSTR process. In the adaptive control, Model Reference Adaptive Control (MRAC) and Self-Tuning Regulator (STR) methods are used. The Recursive Least-Square algorithm (RLS) gives the process parameters and Minimum Degree Pole Placement (MDPP) gives the controller parameters and is used to obtain the Control law. This paper illustrates how well the MDDP and RLS algorithms work. The S-function simulation is made using MATLAB codes and the results were analysed. Simulation results shows that the closed loop response of adaptive control has a better performance, compared with the conventional PID controller. This adaptive control method is applied to the Continuous Stirred Tank Reactor for maintaining the liquid temperature inside the reactor.

References

  • Missula Jagath Vallabhai, Pankaj Swarnkar, D. M. Deshpande, "Comparative Analysis of PI Control and Model Reference Adaptive Control Based Vector Control Strategy for Induction Motor Drive", International Journal of Engineering Research and Applications (IJERA), Vol. 2, Issue 3, pp. 2059-2070, May-Jun 2012.
  • Rajesh Singla and Rahul Upadhyay, "Analysis of CSTR Temperature Control with Adaptive and PID Controller(A Comparative study)",IACSIT International Journal of Engineering and Technology, vol. 2, No. 5, pp. 453-458,October 2010.
  • Middleton, R. H. and Goodwin, G. C. ,"Design issues in Adaptive control", IEEE Transactions on Automatic Control, vol. 33, issue. 1, pp. 50-58, January1988.
  • George Stephanopoulis, "Chemical Process Control", Prentice-Hall of India Private Limited, India, 2008.
  • Middleton R. H. , Goodwin, G. C. , "Design issues in adaptive control", IEEE transaction on automatic control ,vol. 33, no. 1, pp. 50-58, 1988.
  • Astrom. K. J and B. Wittenmark, "On Self-tuning Regulators", Automatica, vol . 9, no. 2, pp. 185-199, 1973.
  • Honghong Duan, Jie Jia, Ruifeng Ding, "Two-stage recursive least squares parameter estimation algorithm for output error models", International Journal of Mathematical and Computer Modeling, vol. 55, no. 3, pp. 1151-1159, 2012.
  • D. Vasanthi, B. Pranavamoorthy, N. Pappa, "Design of a self-tuning regulator for temperature control of a Polymerization reactor", ISA Transactions, vol. 51, Issue 1, pp. 22-29, January 2012.
  • Glan Devadhas. G, Pushpakumar. S, Muruga Prasad, S. V, "Intelligent Computation of Controller using Optimization Technique for a Non-linear Chemical Process", International Journal of Research and Reviews in Soft and Intelligent Computing (IJRRSIC), vol. 1, no. 3 pp. 49-55, September 2011.
  • Jiabo Zhanga, Feng Ding and Yang Shi,"Self Tuning control based on multi-innovation stochastic gradient parameter estimation", International Journal of Systems and Control Letters, vol. 58, no. 1, pp. 69-75, 2009.
  • Luyben, W. L, "Process Modeling, Simulation and Control for Chemical Engineers", McGraw-Hill, New York, 1989.
  • Karl J. Astrom and Bjorn Wittenmark, "Adaptive Control", Second Edition, Pearson Education Private Limited, Singapore, pp. 185-245, 1995.
  • M. Krstic, I. Kanellakopoulos, "Nonlinear and Control Design", New York: Wiey and Sons, 1995.
  • Wellstead. P. E and D. L. Prager, "Multivariable Pole-Assignment Self-tuning Regulator", Proceedings of the Institution of Electrical Engineers, vol. 126,issue. 8, pp. 781-787, August 1979.
  • Astrom, K. J. and P. Eykhoff,"System Identifcation-A Survey", Automatica, vol. 50,no. 7, pp. 123,1971.
  • Anderson, B. D. O. and R. M. Johnstone, "Adaptive Systems and Time Varying Plants", International Journal of Control, vol. 37, no. 2, pp. 367-377, 1983.
  • Chalam, V. V. , "Adaptive Control Systems: Techniques and Applications", Marcel Dekker, New York, 1987.
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