Perancangan Sistem Kontrol Level Nonlinier Menggunakan Fuzzy-PID Supervision

Chalidia Nurin Hamdani

Abstract


Sistem level merupakan sistem yang banyak ditemukan di industri. Sistem ini dapat dikategorikan sebagai sistem nonlinier karena dinamika dan deadtime yang dimilikinya. Salah satu karakteristik dari sistem ini adalah perubahan dinamika ketika set-point yang diberikan berubah. Akibatnya, kontroler PID konvensional dengan parameter tetap tidak mampu mengendalikan sistem ini dengan baik. Perlu dilakukan tuning ulang pada kontroler PID untuk menyesuaikan perubahan dinamika. Dalam paper ini, kami merancang sistem kontrol level menggunakan PID dengan parameter yang disupervisi oleh kontrol fuzzy. Sebagai kontroler utama, PID dirancang menggunakan metode Direct Synthesis (DS) untuk semua titik kerja yang ditentukan. Kontrol fuzzy dirancang berdasarkan nilai-nilai parameter PID yang diperoleh dari perhitungan metode DS. Hasil rancangan disimulasikan menggunakan software MATLAB. Simulasi menunjukkan bahwa sistem kontrol level hasil rancangan mampu mencapai set-point yang diberikan dengan settling time ts (±5%) berkisar antara 4 s.d. 6,5 detik, zero overshoot dan zero offset. Perbandingan dengan sistem kontrol PID konvensional juga menunjukkan hasil yang baik. Sistem kontrol level hasil rancangan rancangan mampu menjamin respon yang memenuhi performa zero overshoot dan zero offset.

Keywords


Sistem level; nonlinear; fuzzy; direct synthesis

Full Text:

PDF

References


J. F. Kanaga and P.S.H. Jose, Repetitive Controller for A Nonlinear Liquid Level System, IEEE 2nd International Conference on Innofations in Information , embedded and Communication System, 2015.

X.Y. Feng, W.T. Chen and K.S. Lu, DFL Nonlinear Control Design and Its Application in Water-Level Nonlinear Plant, IEEE Proc. 1st International Conference on Machine Learning and Cybernetics, 2002.

M.M. Noh, M.S. Najib, N.S. Abdullah, Simulator of Water Tank Level Control System Using PID-Controller, IEEE 3rd Int. Conf. On Water Resources, Hydraulics & Hydrology, 2008.

J.G. Ziegler and N.B. Nichols, Optimum Settings for Automatic Controllers, Journal of Dynamic systems, Measurement and Control, pp. 220-222, 1993.

K. Astrom dan T. Hagglund, PID Controller: Theory, Design and Tuning, 2nd ed, Library of Congress Cataloging-in-Publication Data, pp. 120-134,1994.

D. Chen dan D.E. Seborg, PI/PID Controller Design Based on Direct Synthesis and Disturbance Rejection, Ind. Eng. Chem., vol. 41, PP. 4807-4822, 2002.

L. Maheswari, R.S. Vadivoo and S. Vijayalakshmi, Comparison of Linear and Nonlinear Controllers, Int. Journal of Innovative Science, Engineering & Tech., Vol. 1 Issue 2, 2014.

Y. Ren, Z. Li and F. Zhang, A New Nonlinear PID Controller and its Parameter Design, World Academy of Science, Engineering and Technology, pp. 882-887, 2010.

D. Hryniuk, I. Suhorukova and I. Orobei, Nonlinear PID Controller and Methods of its Setting, IEEE Conference of Electrical, Electronic, and Information Sciences, 2017.

Y.X. Su, D. Sun, and B.Y. Duan, Design of An Enhanced Nonlinear PID Controller, Journal of Mechatronics, Volume 15, Issue 8, pp. 1005-1024, 2005.

Ma, Fengyin, An Improved Fuzzy PID Control Algorithm Applied in Liquid Mixing System, Proc. of IEEE Int. Conference on Information and Automation, 2014.

M. Santos, S. Dormido and J.M. de la Cruz, Fuzzy-PID controllers vs. Fuzzy-PI Controllers, Proc. of IEEE 5th Int. Fuzzy System, 1996.

Li, Qingchun, A New PID Fuzzy Controller (Fuzzy P(I+D)), IEEE Int. Conf. on Information Manag., Innovation Manag. and Industrial Engineering, 2011.

A. Dehghani and H. Khodadadi, Designing a Neuro -Fuzzy PID Controller Based on Smith Predictor for Heating System, IEEE 17th Int. Conf. on Control, Automation and Sys., 2017.

Zhao, Yan, Research on Application of Fuzzy PID Controller in Two-Container Water Tank System Control, IEEE Int. Conf. on Machine Vision and Human Machine Interface, 2010.

Zhang, Peng, Industrial Control System Simulation Routines, Advanced Industrial Control Technology, Elsevier Inc., Chapter 19, pp. 781-810, 2010.

Ogata K., Modern Control System 5th edition, Prentice Hall: New Jersey, 2010.

D.E. Seborg, T.E. Edgar and D.A. Mellichamp, Process Dynamics and Control 2nd Edition, John Wiley & Sons Inc.: USA, 2004.




DOI: https://doi.org/10.35314/ise.v2i1.1269

Refbacks

  • There are currently no refbacks.


Copyright (c) 2020 INOVTEK - Seri Elektro

View My Stats