Control performance assessment in the presence of sampling jitter

Show simple item record Yu, Wei en Wilson, DI en Young, Brent en 2012-03-19T02:41:58Z en 2012 en
dc.identifier.citation Chemical Engineering Research and Design 90(1):129-137 2012 en
dc.identifier.issn 0263-8762 en
dc.identifier.uri en
dc.description.abstract Variations in sampling time, or sampling jitter, is a common insidious industrial control problem. This work investigates how the stochastic sampling jitter adversely affects the performance of control loops using control performance assessment (CPA) tools. It is analytically shown that sampling jitter may both improve or deteriorate the control performance, and through simulation, it is demonstrated that the estimates of Harris index from the time invariant ARMA model are reliable, provided the sampling jitter is relatively small. Furthermore we propose a method to analyze the effects of sampling jitter, when the jitter is unknown and not directly measurable. From the simulations of 15 typical processes, it is shown that the proposed method is reliable for most of the investigated cases. en
dc.publisher The Institution of Chemical Engineers en
dc.relation.ispartofseries Chemical Engineering Research and Design en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from en
dc.rights.uri en
dc.title Control performance assessment in the presence of sampling jitter en
dc.type Journal Article en
dc.identifier.doi 10.1016/j.cherd.2011.06.007 en
pubs.issue 1 en
pubs.begin-page 129 en
pubs.volume 90 en
dc.rights.holder Copyright: The Institution of Chemical Engineers en
pubs.end-page 137 en
dc.rights.accessrights en
pubs.subtype Article en
pubs.elements-id 267473 en Engineering en Chemical and Materials Eng en
pubs.record-created-at-source-date 2012-03-13 en

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