Model predictive control of a PVC batch reactor

Zoltan Nagy, Şerban Agachi

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

This paper discusses a method to improve the quality of temperature control of the polyvinyl chloride (PVC) suspension batch reactor by implementing two Nonlinear Model Predictive Controllers (NMPCs) for this exponentially unstable process with very nonlinear behavior. The first method is based on recomputing the step response matrix at each sampling time with a double model based prediction and solving twice the optimization problem using the linear model of the process described by the step response matrix. The second method uses the rigorous model for both prediction and optimization. These methods were tested for different disturbances, and their performances were compared with those obtained with proportional-integral-derivative (PID) control. Significant improvement of temperature control was achieved using NMPC. The process model, used in both NMPC methods, is presented.

Original languageEnglish
Pages (from-to)571-591
Number of pages21
JournalComputers and Chemical Engineering
Volume21
Issue number6
DOIs
Publication statusPublished - Jan 1 1997

Fingerprint

Model predictive control
Batch reactors
Polyvinyl Chloride
Polyvinyl chlorides
Step response
Temperature control
Controllers
Suspensions
Sampling
Derivatives

All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)
  • Computer Science Applications

Cite this

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Model predictive control of a PVC batch reactor. / Nagy, Zoltan; Agachi, Şerban.

In: Computers and Chemical Engineering, Vol. 21, No. 6, 01.01.1997, p. 571-591.

Research output: Contribution to journalArticle

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