A Fuzzy Logic Controller Approach for Controlling Heat Exchanger Temperature

Indah Soesanti, Ramadoni Syahputra


This paper presents a fuzzy logic controller approach for controlling heat exchanger temperature. Fuzzy logic controller is an artificial intelligence-based controller. The fuzzy logic controller has been widely used for control applications in the industrial world. One of the tools used in the industrial world that requires accurate control is the heat exchanger. A heat exchanger is a device used to process the mixing of liquids that have different temperatures. In this case, temperature control becomes very important. Fuzzy logic control is applied to the heat exchanger so that the mixed fluid has a constant temperature. Fuzzy logic control models in this study are combined with neural network techniques. The fuzzy logic controller model is simulated in Matlab software. The results showed that the fuzzy logic controller was able to stabilize the temperature of the heat exchanger well.


Artificial Intelligence, Fuzzy Logic Controller, Heat Exchanger, Temperature Controller

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Y.B. Khare, Y. Singh, "PID Control of Heat Exchanger System", International Journal of Computer Application (0975–8887), vol. 8, no. 6, October 2010.

K. Erenturk, "Fractional-Order PI A. D J.I and Active Disturbance Rejection Control of Nonlinear Two-mass Drive System", IEEE Trans. Ind. Electron, vol. 60, no. 9, pp. 3806-3813, 2013.

J.S. Wang, C.S.G. Lee, (2002), "Self-Adaptive Neuro-Fuzzy Inference Systems for Classification Applications", IEEE Trans. on Fuzzy Systems, 10, 6, Dec, 2002.

J.S.R. Jang, (1993), "ANFIS: Adaptive-Network-based Fuzzy Inference System", IEEE Trans. Syst., Man, Cybern., 23, 665-685, June 1993.

M. Pandey, K. Ramkumar, V. Alagesan, “Design of Fuzzy Logic Controller for a Cross Flow Shell and Tube Heat-Exchanger”, IEEE, Mar 2012.

L.L. Ojeda, A. Chasse, R. Goussault, (2017), “Fuel consumption prediction for heavy-duty vehicles using digital maps,” 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), Yokohama, Japan, 16-19 Oct. 2017.

R. Syahputra, (2012), “Fuzzy Multi-Objective Approach for the Improvement of Distribution Network Efficiency by Considering DG”, IJCSIT, Vol. 4, No. 2, pp. 57-68.

H. Yang, H. Rakha, M.V. Ala, (2017), “Eco-Cooperative Adaptive Cruise Control at Signalized Intersections Considering Queue Effects,” IEEE Transactions on Intelligent Transportation Systems, Vol. 18, No. 6, June 2017, pp. 1575 – 1585.

Syahputra, R., Soesanti, I. (2015). Power System Stabilizer model based on Fuzzy-PSO for improving power system stability. 2015 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA), Surabaya, 15-17 Oct. 2015 pp. 121 - 126.

N. Kanagaraj, M. Al-Dhaifalla, K. S. Nisar, "Design of intelligent fuzzy fractional-order PID controller for pressure control application", 2017 International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT), pp. 525-530, 2017.

I. Petráš, "Tuning and implementation methods for fractional-order controllers", Fractional Calculus and Applied Analysis, vol. 15, no. 2, pp. 282-303, 2012.

A. Vasickaninova, M. Bakosova, A. Meszaros, J. Klemes, "Neural Network Predictive Control ofa Heat Exchanger", Chemical Engineering Transactions, vol. 21, 2010.

K.R. Das, D. Das, J. Das, "Optimal Tuning of PID controller using GWO Algorithm for speed control in DC Motor", IEEE International conference on soft computing techniques and implementations, 2015.

A.A.M. El-Gaafary, Y.S. Mohamed, A.M. Hemeida, Al-Attar A. Mohamed, "Grey Wolf optimization for Multi input Multi output system", university journal of Communication and Network, 2015.

S. Padhee, "Controller Design for temperature control of Heat Exchanger System: Simulation Studies", WSEAS Transactions on Systems and Control, vol. 9, 2014.

P. Rastogi, S. Chatterji, D.S. Karanjkar, "Performance analysis of fractional-order controller for pH neutralization process", 2012 2nd International Conference on Power Control and Embedded Systems, vol. 2, pp. 1-6, 2012.

M. Vahedpour, A.R. Noei, H.A. Kholerdi, "Comparison between performance of conventional fuzzy and fractional order PID controllers in practical speed control of induction motor", 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI), pp. 912-916, Nov 2015.

DOI: https://doi.org/10.18196/jet.3462

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