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Property evaluation and control in a semibatch MMA/MA solution copolymerization reactor
Affiliation:1. Department of Mechanical Science and Engineering, Hiroshima University, Japan;2. Department of Nano Engineering, Chulalongkorn University, Thailand;3. Center of Excellence in Particle Technology, Faculty of Engineering, Chulalongkorn University, Thailand;1. Department of Applied Chemistry, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo, 169-8555, Japan;2. Department of Chemical System Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan;3. Waseda Research Institute for Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo, 169-8555, Japan;1. Department of Chemical & Biomolecular Engineering, National University of Singapore, Kent Ridge, 117585, Singapore;2. College of Chemistry and Molecular Science, Wuhan University, Wuhan, Hubei 430072, PR China;1. Division of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA;2. Division of Biotechnology, Advanced Institute of Environmental Bioscience, College of Environmental and Bioresource Sciences, Chonbuk National University, Iksan, Jeonbuk 570-752, South Korea;3. Department of Chemical and Environmental Engineering, Yale University, New Haven, CT 06520, USA;4. Atlanta Research & Education Foundation, Atlanta, GA 30033, USA
Abstract:This article deals with the property control of polymer product in a semibatch MMA/MA copolymerization reactor by applying the extended Kalman filter (EKF) based nonlinear model predictive control (MPC). In addition to the feeding of the more reactive monomer, the solvent is continuously supplied so as to maintain the viscosity of the reaction mixture within a reasonable range. This measure then provides favorable conditions not only for the on-line estimation with the EKF but also for the performance of the EKF based nonlinear MPC. Indeed, the improved performance of the state estimator is confirmed by experiment under isothermal and nonisothermal conditions over a prolonged reaction time. On the basis of the estimated state, the EKF based nonlinear MPC is implemented to the semibatch reactor to produce copolymers with desired properties. The experimental results clearly demonstrate the superiority of the present control strategy compared to the result of our previous work obtained without having additional feed of solvent.
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