Moving horizon approach of integrating scheduling and control for sequential batch processes

Yunfei Chu, Fengqi You*

*Corresponding author for this work

Research output: Contribution to journalArticle

36 Scopus citations

Abstract

Online integration of scheduling and control is crucial to cope with process uncertainties. We propose a new online integrated method for sequential batch processes, where the integrated problem is solved to determine controller references rather than process inputs. Under a two-level feedback loop structure, the integrated problem is solved in a frequency lower than that of the control loops. To achieve the goal of computational efficiency and rescheduling stability, a moving horizon approach is developed. A reduced integrated problem in a resolving horizon is formulated, which can be solved efficiently online. Solving the reduced problem only changes a small part of the initial solution, guaranteeing rescheduling stability. The integrated method is demonstrated in a simulated case study. Under uncertainties of the control system disruption and the processing unit breakdown, the integrated method prevents a large loss in the production profit compared with the simple shifted rescheduling solution.

Original languageEnglish (US)
Pages (from-to)1654-1671
Number of pages18
JournalAIChE Journal
Volume60
Issue number5
DOIs
StatePublished - Jan 1 2014

Keywords

  • Advanced manufacturing
  • Batch processes
  • Mixed-integer dynamic optimization
  • Model predictive control
  • Scheduling

ASJC Scopus subject areas

  • Biotechnology
  • Environmental Engineering
  • Chemical Engineering(all)

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