Zhang, S;
Zhao, D;
Spurgeon, SK;
Yan, X;
(2016)
Distributed model predictive control for the atmospheric and vacuum distillation towers in a petroleum refining process.
In:
2016 UKACC 11th International Conference on Control (CONTROL).
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Abstract
This paper develops a distributed model predictive control strategy for the atmospheric and vacuum distillation tower, which constitutes a key process involved in refining petroleum. When considering an MPC implementation, it is known that computational complexity can be reduced if the system is first decomposed into multiple smaller dimensional subsystems. Optimally exploiting the modern computer networks available in industry, a distributed model predictive control implementation is developed for the atmospheric and vacuum tower system, which is assumed to be part of a wider petroleum refining process comprised of a number of sub-systems connected in series. For each subsystem, given the availability of mutual communication channels between subsystems and by using an iterative calculation approach, it will be seen that Nash optimality can be achieved. A low-cost solution that is readily implementable online is seen to achieve the control objective. The effectiveness of the approach presented in the paper is validated by the results of nonlinear simulation experiments.
| Type: | Proceedings paper |
|---|---|
| Title: | Distributed model predictive control for the atmospheric and vacuum distillation towers in a petroleum refining process |
| ISBN-13: | 9781467398916 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/CONTROL.2016.7737534 |
| Publisher version: | http://dx.doi.org/10.1109/CONTROL.2016.7737534 |
| Language: | English |
| Additional information: | © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted compone nt of this work in other works. The final published version is available at http://dx.doi.org/10.1109/CONTROL.2016.7737534 |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices 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 Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1534182 |
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