Aplikasi Kontrol PID Heat Exchanger Pabrik Etilen Glikol dengan Kapasitas 100.000 Ton/Tahun

Leni Maulinda; Chairun Nisa; Muhammad Muhammad

doi:10.29103/jtku.v7i2.1254

Aplikasi Kontrol PID Heat Exchanger Pabrik Etilen Glikol dengan Kapasitas 100.000 Ton/Tahun

Leni Maulinda, Chairun Nisa, Muhammad Muhammad

Abstract

Heat exchangers are tools used to transfer heat energy between a solid surface and fluid or inside different particles and in thermal contact. The objective of the study was to determine the optimum values of Kc, Ti and Td which were applied to the control equipment of the ethylene glycol preparation exchanger. This research also uses design expert software to help get optimum vlue of Kc, Ti and Td before applied to PID system. Proportional-Integral-Derivative (PID) is a controller to determine the precision of an instrumentation system with the characteristics of feedback on the system. As the methodology of this research is to create a steady state Heat Exchanger model, then change the steady state model into a dynamic model, so create a PID model control, then tuning the PID control and testing PID controls, by disturbing the set point. The result of applying PID control system then got the fastest average time with value Kc = 3, Ti = 0,01 Td = 0,04 that is 0,77 minutes. At a temperature of 147.6 air vapor rate of 290.8 Kg / hr; at a temperature of 148.6 found velocity speed of 297.7 Kg / hr; At temperature 149.6 air vapor rate 305.0 Kg / hour; At a temperature of 149.7 air vapor rate of 305.8 Kg / hour and at a temperature of 150 air vapor rate of 308.1 Kg / Hour.

Keywords:

heat exchanger, PID, set point

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References

Bansal, A., & Sharma, V. (2013). Design and Analysis of Robust H-infinity Controller, 3(2), 7–14.

Budiyanto, 2014. Simulasi Kontrol PID untuk Mengatur Putaran Motor AC. Prosiding SNST Ke-5, 23–28.

Ferdinando, H. 2013. Desain PID Controller Dengan Software MatLab.

Hafid, M. 2014. Perancangan Kontroler Fuzzy PD untuk Kontrol, 3(1), 64–69.

Handoko. 2015. Model dan Simulasi Kendala Suhu, Kelembaban, dan Amonia pada Boiler Closed House berbasis ON-OFF, PID, Fuzzy Logic dan ANFIS. Model Dan Simulasi Kendala Suhu, Kelembaban, Dan Amonia Pada Boiler Closed House Berbasis ON-OFF, PID, Fuzzy Logic Dan ANFIS.

Kern, 1965. Process Heat Transfer. McGraw-Hill International Editions Chemical Engineering Series.

K.J. Astrom. 1997. Theory and Applications of Self-Tuning Regulators.

Mayne, J. B. R. and D. Q. 2010. Postface to “Model Predictive Control: Theory and Design.” Control, 57(5), 1040–50. https://doi.org/10.1109/TBME.2009.2039571.

Mushiri. 2017. A Model Reference Adaptive Control (MRAC) System for the Pneumatic Valve of the Bottle Washer in Beverages Using Simulink. Procedia Manufacturing, 7, 364–373. https://doi.org/10.1016/j.promfg.2016.12.003.

Neto, F. 2000. Adaptive PID Controllers Tuning: LMS Gain Scheduling Training and Industrial Progmmable Logic Controllers.

Purwanto. 2017. PID Controller Dengan Menggunakan Genetic Algorithm Pada Pengaturan Motor Induksi Sebagai Penggerak Mobil Listrik, (August).

Ralston, T. 2011. Getting Started — Preliminary Design — Aspen HYSYS Shell & Tube Exchanger Design Utility, 9.

Setiawan, I. 2008. Kontrol PID untuk Proses Industri Beragam Struktur dan Metode Tuning Praktis.

Songsiri, J. 1994. Artificial neural networks in control and optimization. Doctor Thesis. University of Manchester. …, (February). Retrieved from ftp://ftp.unicauca.edu.co/Documentos_Publicos/Facultades/FIET/DEIC/Materias/Control Inteligente/clases_2006a/Parte III/clase 23 int/RBF/chap01.pdf.

Syaichurrozi, I. 2014. Kajian Performa Alat Penukar Panas Plate and Frame : Pengaruh Laju Alir Massa , Temperatur Umpan dan Arah Aliran Terhadap Koefisien Perpindahan Panas Menyeluruh Study of Plate and Frame Heat Exchanger Performance : The Effects of Mass Flow Rate , Inlet Te, XI(2).

Wicaksono, H. 2004. Analisa Performansi dan Robustness Beberapa Metode Tuning Kontroler PID pada Motor DC, 4(2), 70–78.

DOI: https://doi.org/10.29103/jtku.v7i2.1254