Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/95935
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHu, Wuhuaen
dc.contributor.authorUmar, Lia Maisarahen
dc.contributor.authorXiao, Gaoxien
dc.contributor.authorKariwala, Vinayen
dc.date.accessioned2013-07-15T07:21:40Zen
dc.date.accessioned2019-12-06T19:23:29Z-
dc.date.available2013-07-15T07:21:40Zen
dc.date.available2019-12-06T19:23:29Z-
dc.date.copyright2011en
dc.date.issued2011en
dc.identifier.citationHu, W., Umar, L. M., Xiao, G., & Kariwala, V. (2012). Local self-optimizing control of constrained processes. Journal of Process Control, 22(2), 488-493.en
dc.identifier.issn0959-1524en
dc.identifier.urihttps://hdl.handle.net/10356/95935-
dc.description.abstractThe available methods for selection of controlled variables (CVs) using the concept of self-optimizing control have been developed under the restrictive assumption that the set of active constraints remains unchanged for all the allowable disturbances and implementation errors. To track the changes in active constraints, the use of split-range controllers and parametric programming has been suggested in the literature. An alternate heuristic approach to maintain the variables within their allowable bounds involves the use of cascade controllers. In this work, we propose a different strategy, where CVs are selected as linear combinations of measurements to minimize the local average loss, while ensuring that all the constraints are satisfied over the allowable set of disturbances and implementation errors. This result is extended to select a subset of the available measurements, whose combinations can be used as CVs. In comparison with the available methods, the proposed approach offers simpler implementation of operational policy for processes with tight constraints. We use the case study of forced-circulation evaporator to illustrate the usefulness of the proposed method.en
dc.language.isoenen
dc.relation.ispartofseriesJournal of process controlen
dc.rights© 2011 Elsevier Ltd.en
dc.titleLocal self-optimizing control of constrained processesen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Chemical and Biomedical Engineeringen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
dc.identifier.doi10.1016/j.jprocont.2011.11.003en
item.fulltextNo Fulltext-
item.grantfulltextnone-
Appears in Collections:SCBE Journal Articles

SCOPUSTM   
Citations

18
checked on Sep 1, 2020

WEB OF SCIENCETM
Citations

14
checked on Sep 19, 2020

Page view(s)

410
checked on Sep 25, 2020

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.