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 language | English (US) |
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Pages (from-to) | 1654-1671 |
Number of pages | 18 |
Journal | AIChE Journal |
Volume | 60 |
Issue number | 5 |
DOIs | |
State | Published - 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)