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Modelling for Temperature Non-Isothermal Continuous Stirred Tank Reactor Using Fuzzy Logic

Authors: Nasser Mohamed Ramli, Mohamad Syafiq Mohamad

Abstract:

Many types of controllers were applied on the continuous stirred tank reactor (CSTR) unit to control the temperature. In this research paper, Proportional-Integral-Derivative (PID) controller are compared with Fuzzy Logic controller for temperature control of CSTR. The control system for temperature non-isothermal of a CSTR will produce a stable response curve to its set point temperature. A mathematical model of a CSTR using the most general operating condition was developed through a set of differential equations into S-function using MATLAB. The reactor model and S-function are developed using m.file. After developing the S-function of CSTR model, User-Defined functions are used to link to SIMULINK file. Results that are obtained from simulation and temperature control were better when using Fuzzy logic control compared to PID control.

Keywords: CSTR, temperature, PID, fuzzy logic.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1128853

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References:


[1] M. Araki, "PID Control," Encyclopedia of Life Support Systems, vol. II, pp. 1-7.
[2] S. Boobalan, K. Prabhu and V. M. Bhaskaran, "Fuzzy Based Temperature Controller For Continuous Stirred Tank Reactor," International Journal of Advanced Research in Electrical Electronics and Instrumentation Engineering, vol. II, no. 12, 2013.
[3] S. Deepa, N. Anipriya and R. Subbulakshmy, "Design of Controllers for Continuous Stirred Tank Reactor," International Journal of Power Electronics and Drive System, vol. V, no. 4, pp. 576-582, 2014.
[4] A. Farhad and K. Gagandeep, "Comparative Analysis of Conventional, P, PI, PID and Fuzzy Logic Controllers for the Efficient Control of Concentration in CSTR," International Journal of Computer Applications, pp. 12-16, 2011.
[5] B. Maurya and S. Bajpai, "Fuzzy Logic Based Temperature Control of Continuous Stirred Tank Reactor," International Journal of Engineering Trends and Technology.
[6] P. Poongodi and R. Madhu Sudhanan, "Simulation of temperature control methodologies for chemical reactor," Journal of Chemical and Pharmaceutical Research, vol. 7, no. 9, pp. 682-689, 2015.
[7] S. Shahin and M. Shahrokhi, "Adaptive fuzzy backstepping approach for temperature control of continuous stirred tank reactors," Fuzzy Sets and Systems, vol. 160, no. 12, pp. 1804-1818, 2009.
[8] N. Singh and S. Kumar, "Comparative Analysis Of PID, Cascade and Fuzzy Logic Control For the Efficient Temperature control in CSTR," International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, pp. 11-16, 2012.
[9] S. Vaneshani and H. Jazayeri-Rad, "Optimized Fuzzy Control by Particle Swarm Optimization Technique for Control of CSTR," World Academy of Science, Engineering and Technology, vol. 5, pp. 405-410, 2011.
[10] D. F. Ahed and M. N. Esmaeel, "Fuzzy logic Control of Continuous Stirred Tank Reactor," Tikrit Journal of Engineering S ciences, vol. 20, no. 2, pp. 70-80, 2013.
[11] P. Woolf "Chemical Process Dynamic and Controls," open online textbook University of Michigan Chemical Engineering.