An effective technique for batch process optimization with application to crystallization

Ming Ge, Qing Guo Wang, Min Sen Chiu, Tong Heng Lee, Chang Chieh Hang, Kim Hock Teo

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

Abstract

An iterative dynamic optimization methodology is developed for on-line optimization of batch processes in the presence of plant-model mismatch and measurable error. In the proposed method, the plant-model mismatch is effectively eliminated by using information from previous batches to modify the trajectories that are applied to the subsequent ones. In addition, the effect of modelling error on the convergence of this algorithm is investigated. The utility of the proposed method is illustrated through the end-point optimization problem in the batch crystallization process, and comparisons to other optimization methods are made.

Original languageEnglish
Pages (from-to)99-106
Number of pages8
JournalChemical Engineering Research and Design
Volume78
Issue number1
DOIs
Publication statusPublished - Jan 2000
Externally publishedYes

Keywords

  • Batch process
  • Iterative dynamic optimization
  • Plant-model mismatch

ASJC Scopus subject areas

  • General Chemistry
  • General Chemical Engineering

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