Optimization and nonlinear Model Predictive Control of batch polymerization systems |
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| Affiliation: | 1. Department of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, MA, USA;2. Department of Biomedical Engineering, Tufts University, Medford, MA, USA;3. Department of Surgery, University of Illinois at Chicago, Chicago, IL, USA;1. School of Automation, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China;2. Department of Chemical Engineering, National Tsing Hua University, 101, Section 2, Kuang-Fu Road, Hsin Chu 30043, Taiwan\n;1. College of Software, Jilin University, Changchun 130012, China;2. Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China;3. Department of Computer Science and Technology, Zhuhai College of Jilin University, Zhuhai, 519041, China;4. School of Transportation Science and Engineering, Beihang University, Beijing 100083, China;5. Technology and Standards Research Institute, China Academy of Information and Communications Technology, Bejing, 100191, China;1. Univ. Grenoble Alpes, GIPSA-lab, F-38000 Grenoble, France CNRS, GIPSA-lab, F-38000 Grenoble, France;1. Col lege of Engineering, Mathematics and Physical Sciences, University of Exeter, EX4 4QF, UK |
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| Abstract: | This paper addresses the optimization of batch polymerization systems, using a feasible path approach, with roots on Model Predictive Control (MPC) theory. The approach allows the reuse of many concepts previously developed for nonlinear MPC of continuous plants. It also provides an efficient and well-integrated methodology for the optimal supervision of discontinuous chemical processes. The application of this technique to the optimization of the batch suspension polymerization of vinyl chloride and the solution polymerization of methyl methacrylate is considered. Significant advantages associated to the use of this methodology are demonstrated with both examples, in terms of productivity gains and the capability of manufacturing products with pre-specified properties. |
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