Abstract—In this paper, a fuzzy model predictive control strategy is proposed for multivariable nonlinear control problem in a distillation column. This method is based on piecewise linear fuzzy model of the process to be controlled, which is used for predicting the outputs. An optimization technique is developed to minimize the difference between the model predictions and the desired prediction horizon. Comparisons are made with conventional controllers. The results confirmed the potentials of the proposed strategy of piecewise linear fuzzy control.
Index Terms— Distillation column, MIMO systems, Model Predictive Control, Takagi-Sugeno fuzzy model.
R. Sivakumar is with St. Joseph’s College of Engineering, Anna University, Chennai ( phone: +91 9444309944; fax: +91 44 2450 0861; e-mail: rsivakumar1@gmail.com).
K. Suresh Manic is with St. Joseph’s College of Engineering, Anna University, Chennai (e-mail: ksuresh_me@yahoo.com)
V. Nerthika is a research scalar in the Department of Chemical engineering, Anna University, Chennai (e-mail: nerthi82@gmail.com)
R. Akila is a research scalar in the Department of Chemical engineering, Anna University, Chennai (e-mail: akilarajamanickam@yahoo.com)
K. Balu is with Department of Chemical Engineering, Anna University, Chennai (e-mail: kbalu@annauniv.edu)
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Cite: R. Sivakumar, K. Suresh Manic, V. Nerthiga, R. Akila, K. Balu, "Application of Fuzzy Model Predictive Control in Multivariable Control of Distillation Column," International Journal of Chemical Engineering and Applications vol. 1, no. 1, pp. 38-42, 2010.
