Enhancement of MIMO H2S Gas Sweetening Separator Tower Using Fuzzy Logic Controller Array
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Enhancement of MIMO H2S Gas Sweetening Separator Tower Using Fuzzy Logic Controller Array

Authors: Muhammad M. A. S. Mahmoud

Abstract:

Natural gas sweetening process is a controlled process that must be done at maximum efficiency and with the highest quality. In this work, due to complexity and non-linearity of the process, the H2S gas separation and the intelligent fuzzy controller, which is used to enhance the process, are simulated in MATLAB – Simulink. New design of fuzzy control for Gas Separator is discussed in this paper. The design is based on the utilization of linear state-estimation to generate the internal knowledge-base that stores input-output pairs. The obtained input/output pairs are then used to design a feedback fuzzy controller. The proposed closed-loop fuzzy control system maintains the system asymptotically-stability while it enhances the system time response to achieve better control of the concentration of the output gas from the tower. Simulation studies are carried out to illustrate the Gas Separator system performance.

Keywords: Gas separator, gas sweetening, intelligent controller, fuzzy control.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1338979

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[1] M. A. Jaswon and W. Smith, Countercurrent Transfer processes in the Non-steady state. Proceedings of the Royal Society of London 225A 226-244,1954.
[2] G. Tommasi and P. Rice, “Dynamic of Packed Tower distillation”, Industrial & Engineering Chemistry Process Design and Development 9 234-243,1970.
[3] A. I. Liapis and T. J. Macavoy, “Transient solution for a class of Hyperbolic counter-current distributed Heat and Mass Transfer systems”, Transactions of the Institution of Chemical Engineers 59 89-94,1981.
[4] K. J. Bardley and H. Andre, “A Dynamic Analysis of a packed gas Separator”, Canadian Journal of Chemical Engineering 50 528-533, 1972.
[5] C. Lakshmanan and O. E. Potter, “Cinematic Modeling of Dynamics of Solids Mixing in Fluidized Beds”, 26(2) 292-296, 1987.
[6] M. R. Rahimpour, J. Fathikalajahi and A. Jahanmiri, “Selective kinetic Deactivation Model for Methanol Synthesis from Simultaneous Reaction Of Co2 and Co with H2 on a commercial copper / zinc oxide catalyst”, The Indian Journal of Chemical Engineering 76 153-761, 1998.
[7] S. Ghader and J. Fathikalajahi “Simulation of Methanol synthesis Reactor of shiraz petrochemial plant”, MSc thesis Department of Chemical Engineering, Shiraz University, Iran (2000).
[8] I. Løvik, “PhD Thesis”, Norwegian University of Science and Technology, Department of Chemical Engineering, 2001.
[9] F. Doyle and L. S. Balasubramhanya, “Nonlinear model-based control of a batch reactive distillation column”, Journal of Process Control 10 209-218, 2000.
[10] A. Kumar and P. Daoutidis, “A DAE framework for modeling and control of reactive distillation columns, in Symposium on Dynamics and Control of Chemical Reactors, Distillation Columns, and Batch Processes”, IFAC, 1995.
[11] Fatima Barcelo Rico, Jose M Gozalvez-Zefrilla, Jose LuisDiez and Asuncion Santafe-Moros, “Modeling and Control of a Continuous Distillation Tower through Fuzzy Techniques, Chemical Engineering Research and Design” 89 107-115, 2011.
[12] Jeen Lin and Ruey-Jing Lian, “Hybrid Fuzzy-logic and Neural Network Controller for MIMO Systems”, Mechatronics 19 972-986 ,2009.
[13] Harun Taskin, Cemalettin Kubat, Ozer Uygun and Seher Arslankaya, Fuzzyfcc: “Fuzzy Logic Control of a Fluid Catalytic Cracking Unit (FCCU) to Improve Dynamic Performance, Computers and Chemical Engineering “30 850-863, 2006.
[14] M. S. Mahmoud, "Computer-Operated Systems Control", Marcel Dekker Inc., New York, 1991.
[15] C. C. Lee, "Fuzzy Logic in Control Systems: Fuzzy Logic Controller, Parts I& II", IEEE Systems, Man and Cybernetics, Vol. 20, No.2, March/April 1990, pp.404-435.
[16] M. S. Mahmoud, S.Z. Eid and A.A. Abou-Elseoud, "A Real Time Expert System for Dynamical Processes", IEEE Transactions Systems, Man and Cybernetics, Vol.SMC-19, No.5, September/October 1989, pp. 1101-1105.
[17] M. S. Mahmoud, S. Kotob, and A. A. Abou-Elseoud, "A Learning Rule-Based Control System”, Journal of Information and Decision Technologies, Vol. 18, No. 1, January 1992, pp. 55-66.
[18] M. S. Mahmoud, A. A. Abou-Elseoud and S. Kotob, "Development of Expert Control Systems: A Pattern Classification and Recognition Approach", Journal of Intelligent and Robotic Systems, Vol. 5, No. 2, April 1992, pp.129-146.
[19] L. X Wang, "A Supervisory Controller for Fuzzy Control Systems that Guarantees Stability", IEEE Trans. Automatic Control, Vol. 39, No. 9, September 1994, pp. 1845-1847.
[20] K. M. Passino, and S. Yurkovick, "Fuzzy Control", Addison Wesley, California, 1998.
[21] Wang, Li-Xin, "A Course in Fuzzy Systems and Control", Prentice-Hall International, Inc. NJ 07458, USA, 1997.
[22] M. Sugeno, and G.T. Kang, “Structure Identification of Fuzzy Model, Fuzzy Sets and Systems”, 28, 1988, pp. 15-33.
[23] Takagi, and M. Sugeno, "Fuzzy Identification of Systems and its Applications to Modeling and Control", IEEE Trans. On System, Man, and Cybernetics, Vol. 15, 1985, pp. 116-13.
[24] Seyed Besharat Anjamrooz and Seyed Said Allah Mortazavi, “Simulation and Intelligent Control of Natural Gas Putification”, Indian Journal of Fundamental and Applied Life Sciences ISSN: 2231– 6345.