Successive linearization-based stochastic repetitive control technique and its applications to SMB a

Kwang Soon Lee, Woohyun Yun, Wangyun Won, Jay Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A repetitive control technique which is based on a time-varying stochastic state space model obtained by cycle-to-cycle linearization of a nonlinear fundamental process model around the operation trajectories in the previous cycle is introduced. The control technique was applied to two repetitive chemical processes: simulated moving bed, a continuous chromatograph separation process, and CATOFIN process, a catalytic propane dehydrogenation reactor where dehydrogenation and coke oxidation alternate over short periods. Numerical studies have shown that the proposed RC techniques are very effective in improving the operation of both processes.

Original languageEnglish
Title of host publicationProceedings of the 17th World Congress, International Federation of Automatic Control, IFAC
Edition1 PART 1
DOIs
Publication statusPublished - 2008
Event17th World Congress, International Federation of Automatic Control, IFAC - Seoul, Korea, Republic of
Duration: 6 Jul 200811 Jul 2008

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number1 PART 1
Volume17
ISSN (Print)1474-6670

Conference

Conference17th World Congress, International Federation of Automatic Control, IFAC
Country/TerritoryKorea, Republic of
CitySeoul
Period6/07/0811/07/08

Keywords

  • Iterative learning control
  • Iterative modelling and control design
  • Nonlinear systems

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