A mixed integer moving horizon formulation for prioritized objective inferential control of a bioprocess system

Author

Long, C.E. ; Voit, Eberhard O. ; Gatzke, E.P.

Author_Institution

Dept. of Chem. Eng., South Carolina Univ., Columbia, SC, USA

Volume

3

fYear

2003

fDate

4-6 June 2003

Firstpage

2365

Abstract

This paper presents a model predictive control (MPC) algorithm utilizing a state-space approach that allows for inferential control of unmeasured states using a prioritized control objective formulation. Knowledge of the unmeasured states is gained through the use of an external state estimation routine, while mixed-integer methods are used to implement the prioritization of the objectives. The capabilities of the algorithm are demonstrated by the application of the controller to a fermentation reactor model in a simulation environment.

Keywords

biotechnology; fermentation; predictive control; process control; state estimation; state-space methods; bioprocess system; fermentation reactor; horizon formulation; inferential control; mixed integer methods; model predictive control; prioritization; simulation environment; state estimation; state space approach; Bioinformatics; Chemical engineering; Control systems; Genomics; Inductors; Medical control systems; Optimal control; Predictive control; Predictive models; Time measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 2003. Proceedings of the 2003

ISSN

0743-1619

Print_ISBN

0-7803-7896-2

Type

conf

DOI

10.1109/ACC.2003.1243428

Filename

1243428