Abstract
The PBL (Polybutadiene Latex) production process is a typical batch process. Changes of the reactor characteristics due to the accumulated scaling with the increase of batch cycles require adaptive tuning of the PID controller being used. In this work we propose a tuning method for PID controllers based on the closed-loop identification and the genetic algorithm (GA) and apply it to control the PBL process. An approximated process transfer function for the PBL reactor is obtained from the closed-loop data by using a suitable closed-loop identification method. Tuning is performed by GA optimization in which the objective function is given by ITAE for the setpoint change. The proposed tuning method showed good control performance in actual operations.
Article PDF
Similar content being viewed by others
Avoid common mistakes on your manuscript.
References
Arpornwichanop, A., Kittisupakorn, P. and Hussain, M. A., “Model-based Control Strategies for a Chemical Batch Reactor with Exothermic Reactions,”Korean J. Chem. Eng.,19, 221 (2002).
Astrom, K. J. and Hagglund, T., “PID Controllers: Theory, Design & Tuning,” 2nd Ed., IAS Research Triangle Park, NC (1995).
Chen, D. and Seborg, D. E., “PI/PID Controller Design Based on Direct Synthesis and Disturbance Rejection,”Ind. Eng. Chem. Res.,41(19), 4807 (2002).
Chin, I. S., Chung, J. W. and Lee, K. S., “Model Predictive Control of a Fixed-bed Reactor with Nonlinear Quality Inference,”Korean J. Chem. Eng.,19, 213 (2002).
Choi, S. H. and Manousiouthakis, V., “Global Optimization Methods for Chemical Process Design: Deterministic and Stochastic Approaches,”Korean J. Chem. Eng.,19, 227 (2002).
Forssell, U. and Ljung, L., “Closed-loop Identification Revisited,”Automatica,35, 1215 (1999).
Goldber, D. E., “Genetic Algorithms in Search, Optimization and Machine Learning,” Addison-Wesley (1989).
Hjalmarsson, H., Gevers, M. and de Bruyne, F., “For model-based Control Design, Closed-loop Identification Gives Better Performance,”Automatica,32(12), 1659 (1996).
Larimore, W. E., “Canonical Variate Analysis in Identification, Filtering and Adaptive Control,” Proc. of the 29th Conference on Decision and Control, CDC 90, HI, 596 (1990).
Ljung, L. and McKelvey, T., “Subspace Identification from Closed Loop Data,”Signal Processing,52, 209 (1996).
Pramod, S. and Chidambaram, M., “Closed Loop Identification of Transfer Function Model for Unstable Bioreactors for Tuning PID Controllers,”Bioprocess Eng.,22, 185 (2000).
Seborg, D. E., Edgar, T. F. and Mellichamp, D. A., “Process Dynamics and Control,” John Wiley & Sons, New York, 272–309 (1989).
Sung, S. W., Lee, T. and Park, S., “Optimal PID Tuning Method for Single-Input/Single-Output Processes,”AIChE J.,48(6), 1358 (2002).
van den Hof, P. M. J., “Closed-loop Issues in System Identification,” Proceedings of the 11th IFAC Symposium on System Identification, Fukuoka, Japan,4, 1651 (1997).
Van Overschee, P. and De Moor, B., “N4SID: Subspace Algorithms for the Identification of Combined Deterministic and Stochastic Systems,”Automatica,30, 75 (1994).
Verhaegen, M., “Identification of the Deterministic Part of MIMO State Space Models,”Automatica,30, 61 (1994).
Verhaegen, M. and Dewilde, P., “Subspace Identification, Part I: The Output-error State Space Model Identification Class of Algorithms,”Int. J. Control,56, 1187 (1992).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Yeo, YK., Kwon, TI. & Lee, K.H. An energy effective PID tuning method for the control of polybutadiene latex reactor based on closed-loop identification. Korean J. Chem. Eng. 21, 935–941 (2004). https://doi.org/10.1007/BF02705574
Received:
Accepted:
Issue Date:
DOI: https://doi.org/10.1007/BF02705574