Charitopoulos, VM;
Aguirre, AM;
Papageorgiou, LG;
Dua, V;
(2018)
Uncertainty aware integration of planning, scheduling and multi-parametric control.
In:
Computer Aided Chemical Engineering.
(pp. pp. 1171-1176).
Elsevier
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Abstract
In this work we investigate the integrated planning, scheduling and control (iPSC) of process systems under uncertain conditions throughout the three levels of decision making. The planning problem is explored in a rolling horizon fashion coupled with demand forecasts. Proactive and reactive approaches are employed to handle the effect of stochastic variations. Depending on the nature of the uncertain parameters robust optimisation and chance constrained programming are employed. For the closed-loop implementation of the control, novel multi-parametric controllers are designed. The proposed framework is tested on the iPSC of a polymerisation process. Finally, Monte Carlo simulations are conducted to highlight the benefits of the “uncertainty-aware” solutions when compared to the deterministic ones.
| Type: | Proceedings paper |
|---|---|
| Title: | Uncertainty aware integration of planning, scheduling and multi-parametric control |
| Event: | 13th International Symposium on Process Systems Engineering – PSE 2018 |
| DOI: | 10.1016/B978-0-444-64241-7.50190-7 |
| Publisher version: | https://doi.org/1010.1016/B978-0-444-64241-7.50190... |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10111722 |
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