Constrained model predictive control of MMA polymerization reactor based on genetic algorithm optimization

Author

Rafizadeh, Mehdi ; Solgi, Reza ; Abbaszadeh, Masoud

Author_Institution

Polymer Eng. Dept., Amirkabir Univ. of Technol., Tehran, Iran

Volume

1

fYear

2003

fDate

23-25 June 2003

Firstpage

464

Abstract

Control of MMA polymerization batch reactor has intensively investigated. The nonlinear and time varying behavior of the system makes its control a challenging task. MPC algorithm is enjoying an increasing application for control of chemical processes. A sequential linearized model based predictive controller based on the DMC algorithm was designed to control the temperature of a batch MMA polymerization reactor. A genetic algorithm (GA) is suggested to optimize the cost function of DMC. The controller performance was studied via simulation. The controller performance in tracking the profile, noise and disturbances rejection is very good.

Keywords

batch processing (industrial); chemical reactors; genetic algorithms; linearisation techniques; nonlinear control systems; polymerisation; predictive control; process control; temperature control; time-varying systems; MMA polymerization; chemical processes; dynamic matrix control algorithm; genetic algorithm; linearization model; methyl methacrylate polymerization reactor control; model predictive control; nonlinear system; optimization; polymerization batch reactor; temperature control; time varying system; Constraint optimization; Control systems; Genetic algorithms; Inductors; Nonlinear control systems; Polymers; Predictive control; Predictive models; Temperature control; Time varying systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications, 2003. CCA 2003. Proceedings of 2003 IEEE Conference on

Print_ISBN

0-7803-7729-X

Type

conf

DOI

10.1109/CCA.2003.1223457

Filename

1223457