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Optimal back-off point determination and controller weight selection for multivariate systems under finite-horizon control

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cris.author.scopus-author-id36626229600
cris.author.scopus-author-id36198763500
cris.author.scopus-author-id7003600874
dc.contributor.authorSpinner, Tim
dc.contributor.authorBabji Srinivasan
dc.contributor.authorRaghunathan Rengasamy
dc.date.accessioned2023-09-20T05:17:46Z
dc.date.available2023-09-20T05:17:46Z
dc.date.issued01-04-2016
dc.description.abstractPlant economic performance is most often related to the operating point, specifically the mean values of the process variables; meanwhile, most existing performance assessment techniques involve examining the variances or covariances of the controlled variables. A combined approach is to determine the appropriate trade-off between variances of different process variables in order to operate the plant at the point that provides maximum economic benefit while satisfying the operating constraints. This problem is referred to as the minimum backed-off operating point selection, and previous works have formulated it as a non-convex constrained optimization problem. In the current work, a new technique is introduced that can provide the optimal plant operating point. Additionally, this method provides the weights for a finite horizon controller that results in the optimal trade-off in process variable variances that will allow satisfaction of the operating constraints at the optimal operating point. In this method, the plant and disturbance models for the given process are used to generate data representing possible trade-offs between process variable standard deviations. Employing a piecewise linear regression to describe the sample points of this standard deviations data allows for the operating point selection problem to be solved as a small number of linear programs. The advantages of this approach are demonstrated through the use of mathematical and simulation case studies.
dc.identifier.doi10.1016/j.jprocont.2016.01.008
dc.identifier.issn9591524
dc.identifier.scopus2-s2.0-84959492985
dc.identifier.urihttps://apicris.irins.org/handle/IITM2023/40313
dc.relation.ispartofseriesJournal of Process Control
dc.sourceJournal of Process Control
dc.subjectGeneralized principal component analysis
dc.subjectMultivariate control loop performance assessment
dc.subjectOptimal plant operating point
dc.subjectPiecewise linear regression
dc.titleOptimal back-off point determination and controller weight selection for multivariate systems under finite-horizon control
dc.typeJournal
dspace.entity.typePublication
oaire.citation.endPage145
oaire.citation.startPage134
oaire.citation.volume40
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliationIndian Institute of Technology, Madras
oairecerif.author.affiliationIndian Institute of Technology, Madras
person.affiliation.cityGandhinagar
person.affiliation.cityChennai
person.affiliation.cityLubbock
person.affiliation.id60104341
person.affiliation.id60025757
person.affiliation.id60021285
person.affiliation.nameIndian Institute of Technology Gandhinagar
person.affiliation.nameIndian Institute of Technology Madras
person.affiliation.nameTexas Tech University
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