Real-time estimation of the chain length distribution in a polymerization reactor—II. comparison of estimated and measured distribution functions

Schüler, Hans; Papadopoulou, Simira

doi:10.1016/0009-2509(86)80056-2

Cited by 44 publications

(7 citation statements)

References 4 publications

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“…Schuler and Zhang (1985), at the simulation level, considered the estimation of temperature, monomer and initiator concentrations, and the first three moments of the polymer chain length distribution for the free radical polymerization of styrene. Later experimental studies (Schuler and Papadopoulou, 1986) confirmed their simulation results. Arriola and Ray (Ray, 1986) considered the question of state estimation using both on-line and off-line delayed measurements to estimate the MWD and branching distribution in a polymerization reactor.…”

Section: Introductionmentioning

confidence: 56%

Feedforward and feedback control of a solution copolymerization reactor

1989

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A control system is designed for a copolymerization reactor using a combination of feedforward, ratio, and feedback control to regulate polymer production rate, copolymer composition, molecular weight, and reactor temperature. The solution copolymerization of methyl methacrylate and vinyl acetate in a continuous stirred tank reactor is used as an illustrative example with the kinetic parameters and reactor operating conditions obtained from the literature. The process includes equipment to recycle unreacted monomers and solvent. The recycle stream introduces disturbances to the reactor feed, which perturb the polymer properties. A feedforward control strategy is proposed to counter these disturbances, and its effectiveness is demonstrated using the model. The mathematical model is used to investigate input /output control pairings in order to identify the fundamental nature of the solution copolymerization control problem and to determine the best control system structure. The combined feedforward /feedback strategy is tested on a nonlinear model of the process for set point changes and compensation of unmeasured reactor disturbances. The performance of the control system design was quite good, and such designs have been found successful in plant operations.

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Section: Introductionmentioning

confidence: 56%

Feedforward and feedback control of a solution copolymerization reactor

1989

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“…The filter was found to be quite robust despite some difficulties in the detection of inhibitor drifts. Schuler and coworkers (Schuler, 1980;Schuler and Suzhen, 1985;Schuler and Papadopoulou, 1986) developed a decoupled nonlinear estimator based on an EKF for the real-time estimation of the chain-length distribution and conversions in a batch polystyrene reactor. The filter used temperature and refractive index measurements.…”

Section: Aiche Journalmentioning

confidence: 99%

Estimation of the molecular weight distribution in batch polymerization

et al. 1988

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A filtering technique is proposed for on-line estimation of the temperature, monomer conversion, initiator conversion, and the entire molecular weight distribution in a batch methyl methacrylate polymerization reactor. The technique uses a detailed polymerization model combined with on-line measurements of conversion, temperature, and the molecular weight distribution, taken at different discrete time intervals. The polymerization model includes a chain-length-dependent termination rate constant which allows the prediction of the molecular weight distribution for common free-radical polymerization conditions. Comparisons between modeling and experimental results show that the polymerization model gives good predictions of the monomer conversion and the molecular weight distribution in the polymerization system. The performance of the estimation scheme is tested for cases of strong gel effect conditions leading to a bimodal molecular weight distribution, and poor initial conditions. Finally, off-line experimental data are used to test the algorithm under actual reactor operating conditions.

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“…Geisler (1983,1986, 1989) Christiansen et al (1985, 1990 Kissin (1985) Ray (1986) Arriola & Ray (1987, 1989 Gupta and Kumar (1987 The overall behavior of these classes may be seen in Figure 2. Addition or chain growth mechanisms in which chain growth occurs principally by adding to a polymer chain one at a time.…”

Section: Polymerization Kineticsmentioning

confidence: 99%

Modeling and Control of Polymerization Reactors

Ray

1993

Dynamics and Control of Chemical Reactors, Distillation Columns and Batch Processes

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Real-time estimation of the chain length distribution in a polymerization reactor—II. comparison of estimated and measured distribution functions

Cited by 44 publications

References 4 publications

Feedforward and feedback control of a solution copolymerization reactor

Feedforward and feedback control of a solution copolymerization reactor

Estimation of the molecular weight distribution in batch polymerization

Modeling and Control of Polymerization Reactors

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