Polymer grade transition control using advanced real-time optimization software

被引：41

作者：

BenAmor, S

Doyle, FJ ^{[1
]}

McFarlane, R

机构：

[1] Univ Calif Santa Barbara, Dept Chem Engn, Santa Barbara, CA 93106 USA

[2] Univ Delaware, Dept Chem Engn, Newark, DE 19716 USA

[3] Invensys Performance Solut, Houston, TX 77042 USA

来源：

JOURNAL OF PROCESS CONTROL | 2004年 / 14卷 / 04期

关键词：

ROMeo; nonlinear model predictive control; receding horizon estimation; orthogonal collocation; real-time optimization; grade transition; polymerization;

D O I：

10.1016/j.jprocont.2003.06.001

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper describes the application of an industrial real-time optimization package (ROMeo(1)) to the nonlinear model predictive control (NLMPC) of a simulated polymer grade transition. The NLMPC algorithm is formulated using orthogonal collocation to integrate the model equations, and sequential quadratic programming to solve the resulting nonlinear programming problem. A receding horizon estimation scheme and, separately, a Luenberger observer are designed to reconstruct unmeasured states. The resulting algorithm is demonstrated on two simulated polymerization case studies: (i) continuous methyl methacrylate and (ii) gas-phase polyethylene. (C) 2003 Elsevier Ltd. All rights reserved.

引用

页码：349 / 364

页数：16

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