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Mathematical Problems in Engineering
Volume 2014, Article ID 838404, 8 pages
Research Article

The PVC Stripping Process Predictive Control Based on the Implicit Algorithm

College of Information and Engineering, Shenyang University of Chemical Technology, Shenyang 110142, China

Received 12 December 2013; Revised 24 January 2014; Accepted 27 January 2014; Published 4 March 2014

Academic Editor: Youqing Wang

Copyright © 2014 Shuzhi Gao and Liangliang Luan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


According to the nonlinear and parameters time-varying characteristics of stripper temperature control system, the PVC stripping process Generalized Predictive Control based on implicit algorithm is proposed. Firstly, supporting vector machine is adopted to dynamically modelize for the stripper temperature; Secondly, combining with real-time model linearized of nonlinear model, a predictive model is linearized for real-time online correction. Then, the implicit algorithm is used for optimal control law. Finally, the simulation results show that the algorithm has excellent validity and robustness of temperature control of the stripper.