Regulatory control structure selection of linear systems

被引：6

作者：

Kookos, IK ^{[1
]}

Perkins, JD ^{[1
]}

机构：

[1] Univ London Imperial Coll Sci Technol & Med, Dept Chem Engn & Chem Technol, Ctr Proc Syst Engn, London SW7 2BY, England

来源：

COMPUTERS & CHEMICAL ENGINEERING | 2002年 / 26卷 / 06期

关键词：

control structure selection; linear systems; mathematical programming techniques;

D O I：

10.1016/S0098-1354(02)00013-3

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The selection of manipulated and controlled variables as well as the structure and parameters of their interconnecting controller is an important synthesis problem that has received a lot of attention from the process control community. This paper presents a mathematical programming methodology for the solution of this multifaceted synthesis problem. The method is applicable to linear or linearised nonlinear systems. In addition, a quantitative index is proposed for the estimation of the advantages in using unstructured controllers, such as model predictive controller (MPC, when compared to classical structured controllers such as multivariable proportional-integral-derivative (PID) controllers. Two case studies are presented where the potential of the method as a rigorous technique for solving the regulatory control structure selection problem for linear systems is established. (C) 2002 Elsevier Science Ltd. All rights reserved.

引用

页码：875 / 887

页数：13

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