Control of Polymerization Processes

Hoogendoorn, K.; Shaw, Rajesh

doi:10.1016/s1474-6670(17)64987-5

Cited by 16 publications

(1 citation statement)

References 7 publications

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“…Early work on adaptive control was surveyed by Aseltine et al (1958), Stromer (1959), Jacobs (1961), Landau (1974), Wittenmark (1975), Unbehauen and Schmid (1975), Parks et al (1980), and more recently by Astrom (1983), Goodwin Within the approaches to the adaptive control problem, three schemes have been recognized in a common framework: gain scheduling, model-reference control, and self-tuning control (Astrom and Wittenmark, 1989). Gain scheduling is a very useful and practical technique and has, in fact, been the predominant design method in flight control systems (Stein, 1980) and in many temperature control systems for chemical reactors (Amhren, 1977;Hoogendoorn and Shaw, 1980;MacGregor et al, 1984). Many applications of model-reference adaptive control systems have been summarized by Parks et al (1980).…”

Section: Adaptive Controlmentioning

confidence: 99%

Adaptive control of conversion in a simulated solution polymerization continuous stirred tank reactor

Mendoza-Bustos¹,

Penlidis²,

Cluett³

1990

Ind. Eng. Chem. Res.

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Section: Adaptive Controlmentioning

confidence: 99%

Adaptive control of conversion in a simulated solution polymerization continuous stirred tank reactor

Mendoza-Bustos¹,

Penlidis²,

Cluett³

1990

Ind. Eng. Chem. Res.

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Estimation and control in polymerization reactors. A review

Eliçabe

Meira

1988

Polymer Engineering & Sci

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The control of polymerization reactors is particularly arduous for several reasons; (a) difficulty in specification of the control objectives; (b) high exothermicities and viscosities involved: (c) complicated process dynamics: and (d) problems with measurement of the polymer structure. Computer control has now simplified many tasks such as sequential operations of batch reactors; but no less important, it has made feasible the implementation of elaborate state estimation and control algorithms. The tendency in the polymerization industry and in current research centers is centered on producing ‘tailor‐made’ polymers from the view of its microscopic and/or macroscopic structures. To this end, several solutions have been proposed. For example, in the ‘chemical approach’, open loop methods have been developed based on the detailed dynamic models of the processes. Any control technique requires a knowledge of the process to be controlled through mathematical models. These models may be developed either from detailed mass and energy balances, or through empirical input‐output or “black‐box” techniques. The most promising control techniques are probably optimal control, adaptive control, and their combinations. Optimal control is powerful because it utilizes directly the detailed non‐linear plant model. Adaptive control developed for linear plants has already proven satisfactory, in spite of the highly nonlinear nature of the polymerizations. Undoubtedly, improved solutions will be obtained when this technique is extended to non‐linear systems.

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Reactor operation and control

Schork¹

1994

Polymer Reactor Engineering

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Control of Polymerization Processes

Cited by 16 publications

References 7 publications

Adaptive control of conversion in a simulated solution polymerization continuous stirred tank reactor

Adaptive control of conversion in a simulated solution polymerization continuous stirred tank reactor

Estimation and control in polymerization reactors. A review

Reactor operation and control

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