### Abstract

We study the control of a solution copolymerization reactor using a model predictive control algorithm based on multiple piecewise linear models. The control algorithm is a receding horizon scheme with a quasi-infinite horizon objective function which has finite and infinite horizon cost components and uses multiple linear models in its predictions. The finite horizon cost consists of free input variables that direct the system towards a terminal region which contains the desired operating point. The infinite horizon cost has an upper bound and takes the system to the final operating point. Simulation results on an industrial scale methyl methacrylate vinyl acetate solution copolymerization reactor model demonstrate the ability of the algorithm to rapidly transition the process between different operating points.

Original language | English (US) |
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Pages (from-to) | 1207-1221 |

Number of pages | 15 |

Journal | Chemical Engineering Science |

Volume | 58 |

Issue number | 7 |

DOIs | |

State | Published - Apr 2003 |

Externally published | Yes |

### Fingerprint

### Keywords

- Linear matrix inequalities
- Model predictive control
- Nonlinear dynamics
- Polymer
- Process control
- System engineering

### ASJC Scopus subject areas

- Chemical Engineering(all)

### Cite this

*Chemical Engineering Science*,

*58*(7), 1207-1221. https://doi.org/10.1016/S0009-2509(02)00559-6

**Control of a solution copolymerization reactor using multi-model predictive control.** / Özkan, Leyla; Kothare, Mayuresh V.; Georgakis, Christos.

Research output: Contribution to journal › Article

*Chemical Engineering Science*, vol. 58, no. 7, pp. 1207-1221. https://doi.org/10.1016/S0009-2509(02)00559-6

}

TY - JOUR

T1 - Control of a solution copolymerization reactor using multi-model predictive control

AU - Özkan, Leyla

AU - Kothare, Mayuresh V.

AU - Georgakis, Christos

PY - 2003/4

Y1 - 2003/4

N2 - We study the control of a solution copolymerization reactor using a model predictive control algorithm based on multiple piecewise linear models. The control algorithm is a receding horizon scheme with a quasi-infinite horizon objective function which has finite and infinite horizon cost components and uses multiple linear models in its predictions. The finite horizon cost consists of free input variables that direct the system towards a terminal region which contains the desired operating point. The infinite horizon cost has an upper bound and takes the system to the final operating point. Simulation results on an industrial scale methyl methacrylate vinyl acetate solution copolymerization reactor model demonstrate the ability of the algorithm to rapidly transition the process between different operating points.

AB - We study the control of a solution copolymerization reactor using a model predictive control algorithm based on multiple piecewise linear models. The control algorithm is a receding horizon scheme with a quasi-infinite horizon objective function which has finite and infinite horizon cost components and uses multiple linear models in its predictions. The finite horizon cost consists of free input variables that direct the system towards a terminal region which contains the desired operating point. The infinite horizon cost has an upper bound and takes the system to the final operating point. Simulation results on an industrial scale methyl methacrylate vinyl acetate solution copolymerization reactor model demonstrate the ability of the algorithm to rapidly transition the process between different operating points.

KW - Linear matrix inequalities

KW - Model predictive control

KW - Nonlinear dynamics

KW - Polymer

KW - Process control

KW - System engineering

UR - http://www.scopus.com/inward/record.url?scp=0037380037&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0037380037&partnerID=8YFLogxK

U2 - 10.1016/S0009-2509(02)00559-6

DO - 10.1016/S0009-2509(02)00559-6

M3 - Article

AN - SCOPUS:0037380037

VL - 58

SP - 1207

EP - 1221

JO - Chemical Engineering Science

JF - Chemical Engineering Science

SN - 0009-2509

IS - 7

ER -