Journal
AICHE JOURNAL
Volume 61, Issue 12, Pages 4179-4190Publisher
WILEY-BLACKWELL
DOI: 10.1002/aic.14951
Keywords
production scheduling; model predictive control; integrated scheduling and control
Categories
Funding
- ABB Corporate Research
- NSF CAREER Award [CBET-1454433]
- Moncrief Grand Challenges Award from Institute for Computational Engineering and Sciences at The University of Texas at Austin
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The integration of production management and process control decisions is critical for improving economic performance of the chemical supply chain. A novel framework for integrating production scheduling and model predictive control (MPC) for continuous processes is proposed. Our framework is predicated on using a low-dimensional time scale-bridging model (SBM) that captures the closed-loop process dynamics over the longer time scales that are relevant to scheduling calculations. The SBM is used as a constraint in a mixed-integer dynamic formulation of the scheduling problem. To synchronize the scheduling and MPC calculations, a novel scheduling-oriented MPC concept is proposed, whereby the SBM is incorporated in the expression of the controller as a (soft) dynamic constraint and allows for obtaining an explicit description of the closed-loop process dynamics. Our framework scales favorably with system size and provides desirable closed-loop stability and performance properties for the resulting integrated scheduling and control problem. (c) 2015 American Institute of Chemical Engineers
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