Modifier adaptation for run-to-run optimization of transient processes

Sean Costello*, Grégory François, Bala Srinivasan, Dominique Bonvin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Dynamic optimization can be used to determine optimal input profiles for dynamic processes. Due to plant-model mismatch and disturbances, the optimal inputs determined through model-based optimization will, in general, not be optimal for the plant. Modifier adaptation is a methodology that uses measurements to achieve optimality in the presence of uncertainty. Modifier-adaptation schemes have been developed for the real-time optimization of plants operating at steady state. In this paper, the concept of modifier adaptation is extended to transient plants such as batch processes. Two different schemes are proposed, and their performance is illustrated via the simulation of a semi-batch reaction system.

Original languageEnglish
Pages (from-to)11471-11476
Number of pages6
JournalIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume18
DOIs
Publication statusPublished - 2011
Event18th IFAC World Congress - Milano, Italy
Duration: 28 Aug 20112 Sep 2011

Keywords

  • Batch processes
  • Dynamic optimization
  • Modifier adaptation
  • Real-time optimization
  • Run-to-run optimization

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