Fuzzy Logic Control of Two Heated Tanks in Series

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Duraid F. Ahmed
Editor@tj-es.com
Abdulkahar M. Mohammed
Editor@tj-es.com

Abstract

The mathematical modeling of two heated tanks system was developed based on the heat balance and used model parameters for tuning PID and Dahlin controller parameters. The system was studied by introducing step change in the temperature of the inlet stream and heat supply and measuring the temperature change of the tanks. In this paper, a rule-based controller that incorporates fuzzy logic controller has been designed and evaluated. Through simulation study by using MATLAB, it has been shown that the estimated parameters of the model are in good agreement with the experimental values. Also the proposed fuzzy logic controller has given an excellent tracking and regulation performance compared to that of the PID control and Dahlin controller systems.

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References

Heemskerk A. H., “Model-predictive control of polymerization reactor “, Chem. Eng. Sci., Vol. 35, No. 1/2, p. 439, 1980.

Rajagopalan T. and Seshadri V.” Feedforward control temperature of the continuous stirred tank reactor “, Int. J. Control, Vol. 16, No. 5, p. 903, 1972. DOI: https://doi.org/10.1080/00207177208932321

Lei F. and Guanzhong D., “Research on control problem with long delay in polymerizing of PVC”, Intelligent control and Automation, Vol. 2, Issue June, p. 7716-7719, 2006. DOI: https://doi.org/10.1109/WCICA.2006.1713469

William E. M., and Richard M., “Control and method for operating an electric water heater” , US patent No. 7221862, 2007.

Kenth A. B., ” Proportional band temperature control for multiple heating elements”, , US patent No. 6374046, 2002.

Chow M. Y., and Kuehn R. T., ” Fuzzy control of temperature in a semiconductor processing furnace”, The 24th annual conference, Vol. 3, Issue 31 August, p. 1774-1779, 1998.

Pal S., Sen S. K. , Sakar G., and Anish D., ” Studies on a PC-based fuzzy and non-fuzzy on-off controller for a temperature process”, IEEE Computer Society, Vol. 1, p. 345-366, 2008.

Hiroyuki H., and Takeshi K., ” Fuzzy control of bioprocess”, Vol. 89, No. 5, p. 401-408, 2000. DOI: https://doi.org/10.1016/S1389-1723(00)89087-8

Smith C., and Armando B. C., ” Principles and practice of automatic process control”, John wiley & Sons Inc., p. 650-699, 1997.

Passino M. K., and Stephan Y., “Fuzzy control”, Addison-Wesley Longman Inc., 1998.

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