Adaptive control of chemical distributed parameter systems

Davood Babaei Pourkargar, Antonios Armaou

Research output: Contribution to journalConference articlepeer-review

5 Scopus citations

Abstract

The adaptive output feedback control problem of chemical distributed parameter systems is investigated while the process parameters are unknown. Such systems can be usually modeled by semi-linear partial differential equations (PDEs). A combination of Galerkin's method and proper orthogonal decomposition is applied to generate a reduced order model which captures the dominant dynamic behavior of the system and can be used as the basis for Lyapunov-based adaptive controller design. The proposed control method is illustrated on thermal dynamics regulation in a tubular chemical reactor where the temperature spatiotemporal dynamic behavior is modeled in the form of a semi-linear PDE.

Original languageEnglish (US)
Pages (from-to)681-686
Number of pages6
JournalIFAC-PapersOnLine
Volume28
Issue number8
DOIs
StatePublished - Jul 1 2015
Event9th IFAC Symposium on Advanced Control of Chemical Processes, ADCHEM 2015 - Whistler, Canada
Duration: Jun 7 2015Jun 10 2015

Bibliographical note

Funding Information:
★ Financial support from the National Science Foundation, CMMI Award #

Funding Information:
1★3F0i0n3an2c2iaisl gsuraptpeofurtllyfroacmkntohwe lNedagtieodn.al Science Foundation, CMMI Award # Financial support from the National Science Foundation, CMMI Award # 13-00322 is gratefully acknowledged. 13-00322 is gratefully acknowledged.

Keywords

  • Adaptive control
  • Distributed parameter systems
  • Lyapunov stability
  • Model reduction
  • Output feedback
  • Partial differential equations
  • Process control

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