Comprehensive study of decomposition effects on distributed output tracking of an integrated process over a wide operating range

Davood Babaei Pourkargar, Ali Almansoori, Prodromos Daoutidis

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

A comprehensive study of plant decomposition effects is presented for distributed model predictive control (DMPC) of an integrated process system. Different decompositions are obtained via community detection and other methods. The closed-loop performance and computational efficiency of employing various decompositions for DMPC design are evaluated through tracking outputs in different tracking zones corresponding to desired operating conditions. Different levels of communication and cooperation between local controllers, levels of system uncertainty, and dynamic optimization platforms are considered. The results are analyzed to determine the most suitable method for decomposition of the studied integrated process.

Original languageEnglish (US)
Pages (from-to)553-563
Number of pages11
JournalChemical Engineering Research and Design
Volume134
DOIs
StatePublished - Jun 2018

Bibliographical note

Funding Information:
Financial support from the Petroleum Institute, Abu Dhabi, UAE is gratefully acknowledged. Appendix A

Keywords

  • Distributed control
  • Model predictive control
  • Output tracking
  • Process control
  • Process network
  • System decomposition

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