ISSN: 0256-1115 (print version) ISSN: 1975-7220 (electronic version)
Copyright © 2024 KICHE. All rights reserved

Articles & Issues

Language
English
Conflict of Interest
In relation to this article, we declare that there is no conflict of interest.
Publication history
Received September 28, 2017
Accepted February 6, 2018
articles This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright © KIChE. All rights reserved.

All issues

Development of batch proportional-integral-derivative controller

Department of Chemical Engineering, Kyungpook National University, 1370 Sankyeok-dong, Buk-gu, Daegu 41566, Korea 1Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Deajeon 34141, Korea
suwhansung@knu.ac.kr
Korean Journal of Chemical Engineering, June 2018, 35(6), 1240-1246(7), 10.1007/s11814-018-0024-x
downloadDownload PDF

Abstract

Previous batch control methods, such as iterative learning control (ILC) or run-to-run (R2R) control, can significantly improve the control performance of the batch process. However, to guarantee the expected good control performance, a fairly accurate process model is required for these controllers. Also, the implementation is numerically complicated so that it is difficult to be applied to real manufacturing processes. To overcome these problems, a new batch proportional-integral-derivative (PID) control method is proposed, which borrows the concept of the conventional PID control method. Simulation studies confirm that the proposed method shows acceptable performance in tracking a setpoint trajectory, rejecting disturbances, and robustness to noises and variation of process dynamics. The application to the commercial batch process of a single crystal grower verifies that the proposed method can significantly contribute to improving the control performances of real batch processes.

References

Wang YQ, Gao FR, Doyle FJ, J. Process Control, 19(10), 1589 (2009)
Del Castillo E, Hurwitz AM, J. Qual. Technol., 29, 184 (1997)
Ahn HS, Chen Y, Moore KL, IEEE Trans. Syst. Man. Cybern. C Appl. Rev., 37, 1099 (2007)
Yu D, Zhu Y, Yang K, Hu C, Li M, Proc. Inst. Mech. Eng. I J. Syst. Control Eng., 228, 658 (2014)
Lee KS, Lee JH, J. Process Control, 13(7), 607 (2003)
Sachs E, Guo RS, Ha S, Hu A, IEEE Trans. Semicond. Manuf., 4, 134 (1991)
Edgar TF, Campbell WJ, Bode C, Proceedings of the 38th IEEE Conference, 4, 4185 (1999)
Lee KS, Bang SH, Chang KS, J. Process Control, 4, 77 (1994)
Chin I, Qin SJ, Lee KS, Cho M, Automatica, 40(11), 1913 (2004)
Lu JY, Cao ZX, Wang Z, Gao FR, Ind. Eng. Chem. Res., 54(21), 5683 (2015)
Oh SK, Lee JM, J. Chem. Eng. Jpn., 50(6), 415 (2017)
Sung SW, Lee J, Lee IB, Process identification and PID control, John Wiley & Sons (2009).
Franklin GF, Powell JD, Workman WL, Digital control of dynamic systems (Vol. 3), CA: Addison-Wesley (1998).
Lee KS, Kim WC, Lee JH, J. Inst. Control, Robotics Systems, 2, 148 (1996)

The Korean Institute of Chemical Engineers. F5, 119, Anam-ro, Seongbuk-gu, 233 Spring Street Seoul 02856, South Korea.
Phone No. +82-2-458-3078FAX No. +82-507-804-0669E-mail : kiche@kiche.or.kr

Copyright (C) KICHE.all rights reserved.

- Korean Journal of Chemical Engineering 상단으로