Output tracking of spatiotemporal thermal dynamics in transport-reaction processes via adaptive model reduction

Davood Babaei Pourkargar, Antonios Armaou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

We consider the output tracking problem of spatially distributed processes described by nonlinear dissipative partial differential equations (DPDEs). The infinite dimensional representation of such systems can be decomposed to finite dimensional slow and infinite dimensional fast and stable subsystems. To circumvent the important issues of controller and observer synthesis for large dimensional models of DPDEs, the controller and observer design is addressed using adaptive proper orthogonal decomposition (APOD) to recursively construct locally accurate low dimensional reduced order models. The effectiveness of the proposed control structure is successfully illustrated on an output tracking problem of thermal dynamics in a catalytic reactor to reduce hot spot temperature and manage the thermal energy distribution across reactor length using limited number of actuators and sensors.

Original languageEnglish (US)
Title of host publication2014 American Control Conference, ACC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3352-3358
Number of pages7
ISBN (Print)9781479932726
DOIs
StatePublished - Jan 1 2014
Event2014 American Control Conference, ACC 2014 - Portland, OR, United States
Duration: Jun 4 2014Jun 6 2014

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Other

Other2014 American Control Conference, ACC 2014
CountryUnited States
CityPortland, OR
Period6/4/146/6/14

Keywords

  • Distributed parameter systems
  • Process control
  • Reduced order modeling

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