Decentralised model predictive control for parallel unit operation optimisation

Wiid, Andries J.; Le Roux, Johan Derik; Craig, Ian Keith

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dc.contributor.author	Wiid, Andries J.
dc.contributor.author	Le Roux, Johan Derik
dc.contributor.author	Craig, Ian Keith
dc.date.accessioned	2022-08-19T11:51:16Z
dc.date.available	2022-08-19T11:51:16Z
dc.date.issued	2021
dc.description.abstract	This paper describes the application of decentralised model predictive control (DMPC) to parallel unit operations. A decentralised approach may provide advantages in terms of maintenance, online time, and tuning complexity. Total flow control and linearisation, flow biasing and mass balance baselayer schemes are discussed as well as the DMPC structures. Finally, an industrial case study is presented where a DMPC approach is applied to steam header pressure control and steam generation optimisation.	en_US
dc.description.department	Electrical, Electronic and Computer Engineering	en_US
dc.description.librarian	am2022	en_US
dc.description.uri	https://www.journals.elsevier.com/ifac-papersonline	en_US
dc.identifier.citation	Wiid, A.J., Le Roux, J.D., Craig, I.K. 2021, 'Decentralised model predictive control for parallel unit operation optimisation', IFAC PapersOnLine, vol. 54, no. 21, pp. 139-144, doi : 10.1016/j.ifacol.2021.12.024.	en_US
dc.identifier.issn	1474-6670 (print)
dc.identifier.issn	2405-8963 (online)
dc.identifier.other	10.1016/j.ifacol.2021.12.024
dc.identifier.uri	https://repository.up.ac.za/handle/2263/86889
dc.language.iso	en	en_US
dc.publisher	Elsevier	en_US
dc.rights	© 2021 The Authors. This is an open access article under the CC BY-NC-ND license.	en_US
dc.subject	Decentralized control	en_US
dc.subject	Decoupling problems	en_US
dc.subject	Process control applications	en_US
dc.subject	Decentralised model predictive control (DMPC)	en_US
dc.title	Decentralised model predictive control for parallel unit operation optimisation	en_US
dc.type	Article	en_US