Model reference adaptive control of a continuous polymerization reactor under periodic operation

Eliçabe, Guillermo E.; Meira, G. R.

doi:10.1002/pen.760290605

Cited by 9 publications

(3 citation statements)

References 13 publications

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“…By using the Popov-Landau approach (20), the adaptive loop will have a linear compensator to generate the signal u c r = D . e (16) In the case of a proportional + integral adaptation, the adaptation laws for DK,(e, t ) and DK,(e, t ) are…”

Section: Adaptive Model Following Control Techniquementioning

confidence: 99%

Adaptive model following control of the mold filling process in an injection molding machine

Chu

Wei

Shih

1991

Polymer Engineering & Sci

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This paper is concerned with the practical application of the adaptive model following control (AMFC) theory on the cavity pressure control of the mold filling process in an injection molding machine. The experimental results indicate that the AMFC technique based on the modified Popov-Landau method is very useful for the cavity pressure control. Two kinds of control algorithms are implemented on a 16 bit microcomputer to control the cavity pressure. The results also show that the AMFC algorithm is superior to the classical PI control in this system when the acrylonitrile-butadiene-stryrene (ABS) is injected into a test specimen mold which is designed according to the ASTM code.

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Section: Adaptive Model Following Control Techniquementioning

confidence: 99%

Adaptive model following control of the mold filling process in an injection molding machine

Chu

Wei

Shih

1991

Polymer Engineering & Sci

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“…In a recent study, Elicabe and Meria15 proposed a cascade model‐reference adaptive algorithm to control a continuous polymerization reactor, which is operated under forced oscillations of its feeds. Also, conversion control in the presence of reactive impurities in continuous solution methylmethacrylate polymerization reactor was explored by Chien and Penlidis16 using initiator flow rate as the manipulated variable.…”

Section: Introductionmentioning

confidence: 99%

Experimental validation of the optimal trajectory of initiator concentration in a batch MMA polymerization reactor

Jeong

Rhee

2000

J. Appl. Polym. Sci.

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This article presents a method to determine the trajectory of initiator concentration that will produce polymer with desired number‐ and weight‐average molecular weights at a prespecified level of monomer conversion. The optimal control theory is applied to the mathematical model for a batch methymethacrylate (MMA) solution polymerization reactor system. By imposing the constraint that initiator concentration should decrease within the range of self‐consumption by the initiation reaction, one can obtain the initiator concentration trajectory that can be tracked by feeding the initiator alone. A control scheme is constructed with a cascade proportional‐integral‐derivative (PID) control algorithm for temperature control and a micropump is installed to manipulate the initiator feed rate. The experimental results show satisfactory tracking control performance despite the nonlinear features of the polymerization reactor system. Also, the monomer conversion and the average molecular weights measured are found to be in fairly good agreement with those of model prediction, respectively. In conclusion, the polymer having desired molecular weight distribution can be produced by operating the batch reactor with the initiator supplement policy calculated from the model. © 2000 John Wiley & Sons, Inc. J Appl Polym Sci 78: 1256–1266, 2000

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“…They obtained satisfactory results even when the desired steady state was openloop unstable. A cascade model reference adaptive algorithm was proposed by Elicabe and Meira 4 to control a continuous polymerization reactor, which was operated under forced oscillations of its feeds. Their computer simulations demonstrated the feasibility of the proposed technique, provided continuous state measurements were available.…”

Section: Introductionmentioning

confidence: 99%

Extended Kalman Filter-Based Nonlinear Model Predictive Control for a Continuous MMA Polymerization Reactor

Ahn

Park

Rhee

1999

Ind. Eng. Chem. Res.

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A mathematical model was developed for a continuous reactor in which free radical polymerization of methyl methacrylate (MMA) occurred. Elementary reactions considered in this study were initiation, propagation, termination, and chain transfers to monomer and solvent. The reactor model took into account the density change of the reactor content and the gel effect. To measure the conversion and weight-average molecular weight on line, the on-line densitometer and viscometer were installed in such a way that the measured values of density were used to calculate the conversion and the viscosity measurement along with conversion data was used to determine the weight-average molecular weight. A control system was designed for a continuous reactor using an extended Kalman filter (EKF)-based nonlinear model predictive controller (NLMPC) to control both the conversion and the weight-average molecular weight of the polymer product. The control input variables were the jacket inlet temperature and the feed flow rate. For the purpose of validating the control strategy, an on-line digital control experiment was conducted with an on-line densitometer and viscometer installed. Despite the complex and nonlinear features of the polymerization reaction system, the EKF-based NLMPC performed quite satisfactorily for the property control of the continuous polymerization reactor.

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Model reference adaptive control of a continuous polymerization reactor under periodic operation

Cited by 9 publications

References 13 publications

Adaptive model following control of the mold filling process in an injection molding machine

Adaptive model following control of the mold filling process in an injection molding machine

Experimental validation of the optimal trajectory of initiator concentration in a batch MMA polymerization reactor

Extended Kalman Filter-Based Nonlinear Model Predictive Control for a Continuous MMA Polymerization Reactor

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