Journal
CHEMICAL ENGINEERING RESEARCH & DESIGN
Volume 91, Issue 12, Pages 2559-2568Publisher
ELSEVIER
DOI: 10.1016/j.cherd.2013.04.019
Keywords
Partial least squares; TSK fuzzy model; Internal model control; pH neutralization; MCH distillation column
Categories
Funding
- National Natural Science Foundation of China [61174114]
- Research Fund for the Doctoral Program of Higher Education in China [20120101130016]
- National High Technology Research and Development Program of China [2007AA04Z168]
- Ministry of Education
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In this paper, a dynamic fuzzy partial least squares (DFPLS) modeling method is proposed. Under such framework, the multiple input multiple output (MIMO) nonlinear system can be automatically decomposed into several univariate subsystems in PLS latent space. Within each latent space, a dynamic fuzzy method is introduced to model the inherent dynamic and nonlinear feature of the physical system. The new modeling method combines the decoupling characteristic of PLS framework and the ability of dynamic nonlinear modeling in the fuzzy method. Based on the DFPLS model, a multi-loop nonlinear internal model control (IMC) strategy is proposed. A pH neutralization process and a methylcyclohexane (MCH) distillation column from Aspen Dynamic Module are presented to demonstrate the effectiveness of the proposed modeling method and control strategy. (C) 2013 The Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
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