Automated synthesis of control configurations for process networks based on structural coupling

Seongmin Heo; W. Alex Marvin; Prodromos Daoutidis

doi:10.1016/j.ces.2015.03.049

Automated synthesis of control configurations for process networks based on structural coupling

Seongmin Heo, W. Alex Marvin, Prodromos Daoutidis

Chemical Engineering and Materials Science

Research output: Contribution to journal › Article › peer-review

38 Scopus citations

Abstract

In this paper, a method to systematically synthesize control configurations with favorable structural coupling is developed, using relative degree as a measure of such coupling. Initially, an integer optimization problem is formulated to identify optimal distributions of inputs and outputs (decentralized control configurations) that minimize the overall structural coupling in the network. Then, a hierarchical clustering procedure, which allows identifying groups of inputs and outputs that are strongly connected topologically (block decentralized control configurations), is proposed. The application of the method is illustrated through an example process network.

Original language	English (US)
Pages (from-to)	76-87
Number of pages	12
Journal	Chemical Engineering Science
Volume	136
DOIs	https://doi.org/10.1016/j.ces.2015.03.049
State	Published - Oct 6 2014

Bibliographical note

Funding Information:
Financial support for this work by the National Science Foundation , Grant CBET-1133167 , is gratefully acknowledged. The authors thank Dimitrios Georgis for his helpful insights on the case study, and Sujit Jogwar and Srinivas Rangarajan for the helpful discussions during the course of this research.

Publisher Copyright:
© 2015 Elsevier Ltd.

Keywords

Control structure selection
Hierarchical clustering
Integer programming
Plantwide control
Process networks

Publisher link

10.1016/j.ces.2015.03.049

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abstract = "In this paper, a method to systematically synthesize control configurations with favorable structural coupling is developed, using relative degree as a measure of such coupling. Initially, an integer optimization problem is formulated to identify optimal distributions of inputs and outputs (decentralized control configurations) that minimize the overall structural coupling in the network. Then, a hierarchical clustering procedure, which allows identifying groups of inputs and outputs that are strongly connected topologically (block decentralized control configurations), is proposed. The application of the method is illustrated through an example process network.",

keywords = "Control structure selection, Hierarchical clustering, Integer programming, Plantwide control, Process networks",

author = "Seongmin Heo and Marvin, {W. Alex} and Prodromos Daoutidis",

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AU - Marvin, W. Alex

AU - Daoutidis, Prodromos

N1 - Funding Information: Financial support for this work by the National Science Foundation , Grant CBET-1133167 , is gratefully acknowledged. The authors thank Dimitrios Georgis for his helpful insights on the case study, and Sujit Jogwar and Srinivas Rangarajan for the helpful discussions during the course of this research. Publisher Copyright: © 2015 Elsevier Ltd.

PY - 2014/10/6

Y1 - 2014/10/6

N2 - In this paper, a method to systematically synthesize control configurations with favorable structural coupling is developed, using relative degree as a measure of such coupling. Initially, an integer optimization problem is formulated to identify optimal distributions of inputs and outputs (decentralized control configurations) that minimize the overall structural coupling in the network. Then, a hierarchical clustering procedure, which allows identifying groups of inputs and outputs that are strongly connected topologically (block decentralized control configurations), is proposed. The application of the method is illustrated through an example process network.

AB - In this paper, a method to systematically synthesize control configurations with favorable structural coupling is developed, using relative degree as a measure of such coupling. Initially, an integer optimization problem is formulated to identify optimal distributions of inputs and outputs (decentralized control configurations) that minimize the overall structural coupling in the network. Then, a hierarchical clustering procedure, which allows identifying groups of inputs and outputs that are strongly connected topologically (block decentralized control configurations), is proposed. The application of the method is illustrated through an example process network.

KW - Control structure selection

KW - Hierarchical clustering

KW - Integer programming

KW - Plantwide control

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Automated synthesis of control configurations for process networks based on structural coupling

Abstract

Bibliographical note

Keywords

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