Optimal sensor location and reduced order observer design for distributed process systems

Antonio A. Alonso, Ioannis G. Kevrekidis, Julio R. Banga, Christos E. Frouzakis

Research output: Contribution to journalArticle

65 Scopus citations

Abstract

This paper presents a systematic approach to efficiently reconstruct the infinite dimensional field in distributed process systems from a limited, and usually reduced, number of sensors. To that purpose, two basic tools are employed: on the one hand, a reduced order representation of the system which, based on proper orthogonal decomposition (POD) expansions, captures the most relevant dynamic features of the solution. On the other hand, the selection of the most appropriate type (and number) of measurements by the solution of a max-min optimization problem. These ideas will be illustrated on the problem of field reconstruction for unstable tubular reactors.

Original languageEnglish (US)
Pages (from-to)27-35
Number of pages9
JournalComputers and Chemical Engineering
Volume28
Issue number1-2
DOIs
StatePublished - Jan 15 2004

All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)
  • Computer Science Applications

Keywords

  • Distributed process systems
  • Observer design
  • Optimal sensor placement
  • Proper orthogonal decomposition

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