Chance-constrained model predictive control

被引：212

作者：

Schwarm, AT

Nikolaou, M ^{[1
]}

机构：

[1] Univ Houston, Dept Chem Engn, Houston, TX 77204 USA

[2] Texas A&M Univ, Dept Chem Engn, College Stn, TX 77843 USA

来源：

AICHE JOURNAL | 1999年 / 45卷 / 08期

关键词：

D O I：

10.1002/aic.690450811

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

This work focuses on robustness of model-predictive control with respect to satisfaction of process output constraints. A method of improving such robustness is presented. The method relies on formulating output constraints as chance constraints using the uncertainty description of the process model. The resulting on-line optimization problem is convex. The proposed approach is illustrated through a simulation case study on a high-purity distillation column. Suggestions for further improvements are made.

引用

页码：1743 / 1752

页数：10