Auto-Tuning PI Controller Design Using Fuzzy Logic Controller for Web Tension Control in Roll Rewinder System

  • Ahmad Faizal Electrical Engineering Department, Faculty of Science and Technology, UIN Sultan Syarif Kasim
  • Rahmadeni Rahmadeni Mathematics Department, Faculty of Science and Technology, UIN Sultan Syarif Kasim
  • Elfira Safitri Mathematics Department, Faculty of Science and Technology, UIN Sultan Syarif Kasim
  • Juliesty Huswina Electrical Engineering Department, Faculty of Science and Technology, UIN Sultan Syarif Kasim
  • Rudy Kurniawan Electrical Engineering Department, Faculty of Engineering, Bangka Belitung University https://orcid.org/0000-0002-7829-6388

Abstract

Paper has a very important role, because it increases the productivity of pulp and paper companies in Indonesia. The company's development in 2018 increased by 2.1%, this was indicated by increasing consumer demand. Therefore, paper becomes a necessity in everyday life. The criteria for the paper to be produced are paper with a flat surface and cannot be wrinkled. However, errors in paper production that often occur are a lot of wrinkles and uneven paper surfaces. This happens because of a discrepancy in the dynamics of paper tension with the standards that have been set. The paper record is caused by the dynamics of the web tension in the Rewinder Roll system. In order for the web tension to remain stable, a controller is needed. The controller used is Auto-Tuning PI controller using Fuzzy Logic Controller (FLC). The controller can be said to be successful when it is able to perform automatic tuning of setpoint changes. The results showed that the system was able to achieve setpoint values, overcome overshoot and steady-state error (Ess) with response time values, namely Tr=0.3151 seconds, Ts=0.3750, Td=0.0721, overshoot=0.0044%, and Ess=0 N.

Keywords: Auto-Tuning PI Controller, Fuzzy Logic Controller, Rewinder Roll System, Web Tension Control

Downloads

Download data is not yet available.

References

N. Heronimus, “Kertas dan Kehidupan Manusia,” Qureta, 2018. ttps://www.qureta.com/post/kertas-dan-kehidupan-manusia (accessed May 21, 2021)

R. Pikiran, “RI Produsen Kertas Nomor 6 Terbesar Dunia,” Kemenperin, 2017. https://www.kemenperin.go.id/artikel/16596/2017,-RI-Produsen-Kertas-Nomor-6-Terbesar-Dunia (accessed May 21, 2021).

W. Noviati, “Dilema Penggunaan Kertas di Era Modern,” Qureta, 2018. https://www.qureta.com/post/dilema-penggunaan-kertas-di-era-modern (accessed May 21, 2021).

P. Samuel, “Meski Masuk Era Digital, Permintaan Kertas Dunia Tetap Tumbuh,” CNBC Indonesia, 2018. https://www.cnbcindonesia.com/news/20180503135137-4-13493/meski-masuk-era-digital-permintaan-kertas-dunia-tetap-tumbuh (accessed May 21, 2021).

Suparto and Y. D. Okta, “Analisa Kualitas Produk di PT . Surabaya Meka Box Ltd Dengan Metode Six Sigma Dan FMEA,” 2018.

Parlaungan, “Quality Control untuk Produksi Kertas PT. X Paper Products Menggunakan Metode Six Sigma,” UIN Syarif Hidayatullah, Jakarta, 2011.

Yudianto, dkk., “Penerapan Metode Statistical Process Control Dalam Mengendalikan Kualitas Kertas Bobbin ( Studi Kasus : PT . Pusaka Prima Mandiri ),” vol. 14, p. 6, 2018.

C. IMC, How to Size and Select Load Cells for Web Process Productivity. Cleveland: Cleveland Motion Controls (CMC), 2002.

I. Nailul, “Mendalami Proses Produksi Pulp dan Kertas,” Warung Sains dan Teknologi (Warstek), 2018.

H. Hyeongjin, et al., “Kalman-Filter-Based Tension Control Design for Industrial Roll-to-Roll System,” Algorithms, vol. 12, no. 4, 2019, doi: 10.3390/A12040086.

K. Andrew and W. Wilson, “Adaptive Force Control of in Web Handling Systems,” Intell. Control Autom., vol. 03, no. 04, pp. 329–336, 2012, doi: 10.4236/ica.2012.34038.

J. Syukron, dkk., “Desain Pengendalian Web Tension Pada Roll Winder Menggunakan Kendali Optimal LQR,” Fak. Sains dan Teknol. Univ. Islam Negeri Sultan Syarif Kasim Riau, no. 155, pp. 534–541, 2018.

B. Totok R., “Sistem Pengendalian Web Tension Menggunakan Kontroler Robust PID,” Jurnal Teknik Mesin, 2005.

K. Rizki Anggoro, dkk., “Perancangan Kontroler Self - Tuning PI dengan Logika Fuzzy Sebagai Kendali Motor Servo pada Sistem Tracking Bola,” vol. 7, p. 7, 2018.

R. Mochamad Adityo, dkk., “Sistem Kontrol Kecepatan Sepeda Listrik Menggunakan Metode Self-Tuning Parameter PI dengan Metode Logika Fuzzy,” J. EECCIS, vol. 10, no. 1, pp. 26–32, 2016.

S. Agung, “Logika Fuzzy dengan MATLAB (Contoh Kasus Penelitian Penyakit Bayi dengan Fuzzy Tsukamoto)”, vol. 1, no. March. Bali: Jayapangus Press, 2018.

M. Restu dan B. Syaiful, “Perbandingan Sistem Pengontrolan PID Konvensional dengan Pengontrolan CMAC , Fuzzy Logic dan Ann Pada Water Level,” Sigma Epsil., vol. 17, no. 3, pp. 129–141, 2013.

P. Andre, dkk., “Perancangan Kontroler Self Tuning Fuzzy PI Untuk Pengendalian Ketinggian Air dan Temperatur Uap Pada Steam Drum Boiler,” 2017.

W. Abdul, “Improvement of Linear Distillation Column Control Performance Using Fuzzy Self-Tuning PI Controller,” AIP Conf. Proc., vol. 2255, no. September, pp. 0–7, 2020, doi: 10.1063/5.0014060.

X. Si and J. Wang, “A Vector-control System Based on Fuzzy Self-Tuning PID controller for PMSM,” 2010 Int. Conf. E-Product E-Service E-Entertainment, ICEEE2010, no. 5, pp. 5–8, 2010, doi: 10.1109/ICEEE.2010.5661316.

O. Katsuhiko, “Modern Control Engineering”, 5th ed., vol. 39, no. 12. New Jersey: Prentice Hall, 2010.

Drajat, dkk., “Aplikasi Kontrol Proportional Integrall Berbasis Mikrokontroler ATMEGA8535 Untuk Pengaturan Suhu Pada Alat Pengering Kertas,” p. 314, 2008.

Published
2022-10-08
How to Cite
[1]
A. Faizal, R. Rahmadeni, E. Safitri, J. Huswina, and R. Kurniawan, “Auto-Tuning PI Controller Design Using Fuzzy Logic Controller for Web Tension Control in Roll Rewinder System”, JurnalEcotipe, vol. 9, no. 2, pp. 166-173, Oct. 2022.
Abstract viewed = 60 times
PDF downloaded = 41 times