Title :
Constrained output feedback control of a multivariable polymerization reactor
Author :
Kurtz, Michael J. ; Henson, Michael A.
Author_Institution :
Dept. of Chem. Eng., Louisiana State Univ., Baton Rouge, LA, USA
Abstract :
A multivariable, nonlinear control strategy which accounts for unmeasured state variables and input constraints is developed for the free-radical polymerization of methyl methacrylate. Monomer concentration and reactor temperature are controlled using a technique which combines input-output decoupling and linear model predictive control. Input constraints are handled explicitly by applying linear model predictive control to the feedback linearized system. Unmeasured initiator and solvent concentrations are accounted for by treating the live polymer concentration as an unknown parameter which is estimated online. The performance of the control strategy is evaluated through closed-loop simulations
Keywords :
chemical technology; constraint theory; feedback; multivariable control systems; nonlinear control systems; parameter estimation; polymerisation; predictive control; process control; temperature control; I/O decoupling; closed-loop simulations; constrained output feedback control; feedback linearized system; free-radical polymerization; input constraints; input-output decoupling; linear model predictive control; methyl methacrylate; monomer concentration; multivariable nonlinear control strategy; multivariable polymerization reactor; reactor temperature; unmeasured initiator concentration; unmeasured solvent concentration; unmeasured state variables; Density measurement; Equations; Feeds; Inductors; Output feedback; Polymers; Predictive models; Solvents; Temperature measurement; Temperature sensors;
Conference_Titel :
American Control Conference, 1997. Proceedings of the 1997
Conference_Location :
Albuquerque, NM
Print_ISBN :
0-7803-3832-4
DOI :
10.1109/ACC.1997.611998
