PEMODELAN KONTROL FUZZY PADA PEMANAS FUEL GAS
Keywords:
logika Fuzzy, LNG ExchangerAbstract
Kendali berbasis logika fuzzy saat ini banyak digunakan, menurut hasil beberapa penelitian terdahulu melaporkan kendali fuzzy mempunyai unjuk kerja lebih baik dibandingkan kendali konvensional Proporsional Integral Derivative (PID). Tujuan dari penelitian ini adalah untuk melihat kemungkinan aplikasi kontrol fuzzy pada sistem feed reject di PT. Arun NGL yang berfungsi mengatur temperatur aliran gas yang menuju ke kompresor fuel gas. Pada plant temperatur harus dijaga pada -37,5 °C, tujuannya untuk mencegah terjadinya surging pada kompresor fuel gas. Metodologi penelitian ini didasarkan pada simulasi komputer untuk membandingkan unjuk kerja kontrol FInc dengan kontrol Fuzzy dalam mengontrol temperatur. Hasil simulasi menunjukkan bahwa, pada pengujian model kontrol dengan variasi setpoint pada range temperatur yang kecil model kontrol FInc lebih cepat 2 menit/°C untuk mencapai setpoint. Kenaikan dan penurunan temperatur setpoint secara bertahap pada range temperatur yang besar model kontrol FInc lebih cepat mencapai setpoint 1,41 menit/°C. Pada kenaikan dan penurunan temperatur secara drastis model kontrol FInc lebih cepat 0,89 menit mencapai setpoint. Kontrol FInc mempunyai kinerja yang lebih baik pada posisi error yang besar dan laju alir yang besar.
References
Abikusno, Mohammad, 2007, Pengaturan Kecepatan Motor Induksi 1 Fasa dengan Menggunakan Kontrol PI Fuzzy untuk Beban Pembersh Kecambah, (Kontrol PI Fuzzy), Jurusan Teknik Elektro Industri Politeknik Elektronika Negeri Surabaya.
Anoname, 2002, Fuzzy Logic Toolbox For Use With Matlab, Math Work Inc, 3 Apple Hill Drive, Natic, MA, 01760-2098.
Anoname, 1986, PT. Arun Operating Manual, PT. Trimita Yasa, Overseas Technical Service.
Anoname, 2003, Hysys Operations Guide, Hyprotech Aspen Technology, Inc.
Zadeh L. A., 1973, Outline of a New Approach to th Analysys of Complex Systems and Decision Processes, IEEE Trans. Systems, man and Cybernetics, Vol. SMC-3, No. 1, pp.28-44
Groza, 2005, Fuzzy Expert Systems, Department of Computer Science Technical University of Cluj-Napoca.
Blanc, D, 2000, Fuzzy Logic Application for Optimization of the cooling Tower Control System, A John Wiley & Sons, INC., Publication.
Carr, Dave, dan Shearer, Jeff, 2007, Non Linear Control And Decision Making Using Fuzzy Logic in Logix, Rockwell Automation, Inc
Fuller, Robert, 2008, Fuzzy Logic Controllers - Tutorial, Institute for Advance Management System Research, Department of Information Technologies Faculty of Technology, Abo Academy University
Hill, G., Horskotte, E. and Teichrow, J. (1990) Fuzzy-C development system - users manual, Togai Infralogic, 30 Corporate Park, Irvine, CA 92714, USA.
Lunsford, Kevin, M, 1996, Advantages of Heat Exchanger in The Gas Processing Industriy, Proceedings of the Seventy-Fifth GPA Annual Convention. Tulsa, Gas Processors, Association: 218-226.
Passino, K. M. and Yurkovich, S. (1998). Fuzzy Control, AddisonWesley Longman, Inc, Menlo Park, CA, USA
Vander Wal, A, J, 1995, Application of fuzzy logic control in industry, European Technical Centre, Omron Europe B. V. Zilverenberg 2,5234 GM z-Hertogenbosc, Netherlandz.
Wheatley, Robb, 1998, Example of External HYSYS Controllers in a DDE Server, IFACE Group - rev 2, April 16.
Zadeh L. A., 1973, Outline of a New Approach to th Analysys of Complex Systems and Decision Processes, IEEE Trans. Systems, man and Cybernetics, Vol. SMC-3, No. 1, pp.28-44
Zhang, H, 2006, Fuzzy Modelling and Fuzzy Control, Birkhauser Boston.
Blevins, L., Terrence, 2003, Advance Control Unleashed:Plant Performance for Optimum Benefit, ISA-The Instrumentation, Systems and Automation Society, USA.
Svrcek, W.Y, Mahoney, D.P, and Young, B.R, 2006, A Real-Time Approach to Process Control, Second Edition, John Wiley & Sons, LTD. ISBN: 978-0-470-02533-8
Ziegler, J. G. and Nichols, N. B., 1942, Optimum settings for automatic controllers. Trans. ASME, 64: 759.
Cohen, G. H. and Coon, G. A. , 1953, Theoretical consideration of retarded control. , Trans. ASME, 75: 827.
Rivera, D. E., Morari, M. and Skogestad, 1986, S. Internal model control, 4. PID controller Design, Ind. Eng. Chem. Proc. Des. Dev, 25: 252.
McMillan, G. K. , 1999, Process/Industrial Instruments and Controls Handbook , 5th edn. McGraw-Hill, New York, NY.
Fruehauf, P. S., Chien, I-L. and Lauritsen, M.D. , 1993, Simplified IMC-PID tuning rules, ISA, Paper 93-414, p. 1745.
Astrom, K. J. and Hagglund, T. , 1984 Automatic tuning of simple regulators with specifications on phase and ampilified margins. Automatica, 20: 645.
Tyreus, B. D. and Luyben, W. L. , 1992, Tuning of PI controllers for integrator/deadtime processes, Ind. Eng. Chem. Res., 31: 2625.
Downloads
Published
Issue
Section
License
Authors retain copyright and grant the journal right of first publication and this work is licensed under a Creative Commons Attribution-ShareAlike 4.0 that allows others to share the work with an acknowledgement of the works authorship and initial publication in this journal.
All articles in this journal may be disseminated by listing valid sources and the title of the article should not be omitted. The content of the article is liable to the author.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
In the dissemination of articles by the author must declare the Jurnal Teknologi Kimia Unimal as the first party to publish the article.