Online Estimation and Control of Polymer Quality in a Copolymerization Reactor
نویسندگان
چکیده
The ®alidity of an online state estimator for a semi-batch MMArMA solution copolymerization reactor was established using online densitometer and ®iscometer. Using the ( ) con®entional extended Kalman filter EKF as the state estimator, the experiment was conducted under both isothermal and nonisothermal conditions for application to the control of copolymer properties. Further analysis was made by using offline measurement data for the mol fraction of MMA in the remaining monomers and the solid content. The EKF was found to pro®ide a good estimate for the state of the copolymerization system. A model predicti®e controller was designed and implemented to obtain copolymers with uniform copolymer composition and the desired weight a®erage molecular weight by adopting the feed flow rate of MMA and the reaction temperature as control inputs. The controller was pro®en effecti®e with a satisfactory performance for the control of polymer properties in the semi-batch copolymerization reactor.
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