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

Seongmin Heo, W. Alex Marvin, Prodromos Daoutidis

Research output: Contribution to journalArticlepeer-review

33 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 languageEnglish (US)
Pages (from-to)76-87
Number of pages12
JournalChemical Engineering Science
Volume136
DOIs
StatePublished - 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.

Keywords

  • Control structure selection
  • Hierarchical clustering
  • Integer programming
  • Plantwide control
  • Process networks

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