Retrofit self-optimizing control: a step forward towards real implementation

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dc.contributor.authorYe, L.
dc.contributor.authorCao, Yi
dc.contributor.authorYuan, X.
dc.contributor.authorSong, Z.
dc.date.accessioned2017-03-03T11:11:18Z
dc.date.available2017-03-03T11:11:18Z
dc.date.issued2017-02-14
dc.description.abstractAfter 15 year development, it is still hard to find any real application of the self-optimizing control (SOC) strategy, although it can achieve optimal or near optimal operation in industrial processes without repetitive realtime optimization. This is partially because of the misunderstanding that the SOC requires to completely reconfigure the entire control system which is generally unacceptable for most process plants in operation, even though the current one may not be optimal. To alleviate this situation, this paper proposes a retrofit SOC methodology aiming to improve the optimality of operation without change of existing control systems. In the new retrofitted SOC systems, the controlled variables (CVs) selected are kept at constant by adjusting setpoints of existing control loops, which therefore constitutes a two layer control architecture. CVs made from measurement combinations are determined to minimise the global average losses. A subset measurement selection problem for the global SOC is solved though a branch and bound algorithm. The standard testbed Tennessee Eastman (TE) process is studied with the proposed retrofit SOC methodology. The optimality of the new retrofit SOC architecture is validated by comparing two state of art control systems by Ricker and Larsson et al., through steady state analysis as well as dynamic simulations.en_UK
dc.identifier.citationYe L, Cao Y, Yuan X, Song Z, Retrofit self-optimizing control: a step forward towards real implementation, IEEE Transactions on Industrial Electronics, Volume 64, Issue 6, pp4662-4670en_UK
dc.identifier.issn0278-0046
dc.identifier.urihttp://dx.doi.org/10.1109/TIE.2017.2668991
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/11547
dc.language.isoenen_UK
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_UK
dc.rightsAttribution 3.0 (CC BY 3.0). You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Information: No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
dc.subjectControl systemsen_UK
dc.subjectEconomicsen_UK
dc.subjectProcess controlen_UK
dc.subjectLoss measurementen_UK
dc.subjectSteady-stateen_UK
dc.subjectOptimizationen_UK
dc.subjectUncertainty process controlen_UK
dc.subjectcontrol systemsen_UK
dc.subjectoptimization methodsen_UK
dc.titleRetrofit self-optimizing control: a step forward towards real implementationen_UK
dc.typeArticleen_UK

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