Show simple item record

dc.contributor.authorOwa, K
dc.contributor.authorKhan, Asiya
dc.contributor.authorsharma, sanjay
dc.contributor.authorSutton, R
dc.date.accessioned2017-10-06T09:31:04Z
dc.date.available2017-10-06T09:31:04Z
dc.date.issued2017-11-02
dc.identifier.issn1757-6342
dc.identifier.issn1757-6350
dc.identifier.urihttp://hdl.handle.net/10026.1/10018
dc.description.abstract

In process industries model-plant mismatch is a significant problem. Quadruple tank process (QTP) can be configured both in minimum phase and non-minimum phase (NMP). However, in NMP, the control of QTP poses a challenge. This paper addresses that and presents a novel robust wavelet based non-minimum phase control (NMPC) strategy for the challenging QTP using genetic algorithm to find the optimised value of the manipulated variables in NMPC at every sampling time. The QTP is modelled based on wavelet neural network. The simulation results indicate that significant improvements have been achieved both in modelling and control strategies for a QTP system compare to conventional approaches such as the Levenberg-Marquardt.

dc.format.extent207-207
dc.languageen
dc.language.isoen
dc.publisherInderscience
dc.titleA Non-Minimum Phase Robust Non-linear NeuroWavelet Predictive Control Strategy for a Quadruple Tank Process
dc.typejournal-article
plymouth.issue4
plymouth.volume4
plymouth.publication-statusPublished
plymouth.journalInternational Journal of Process Systems Engineering
dc.identifier.doi10.1504/ijpse.2018.093702
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA12 Engineering
plymouth.organisational-group/Plymouth/Research Groups
plymouth.organisational-group/Plymouth/Research Groups/Marine Institute
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dcterms.dateAccepted2017-09-19
dc.rights.embargodate2018-5-2
dc.identifier.eissn1757-6350
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1504/ijpse.2018.093702
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2017-11-02
rioxxterms.typeJournal Article/Review


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record


All items in PEARL are protected by copyright law.
Author manuscripts deposited to comply with open access mandates are made available in accordance with publisher policies. Please cite only the published version using the details provided on the item record or document. In the absence of an open licence (e.g. Creative Commons), permissions for further reuse of content should be sought from the publisher or author.
Theme by 
Atmire NV