Subset measurement selection for globally self-optimizing control of Tennessee Eastman process

Show simple item record Ye, Lingjian Cao, Yi Yuan, Xiaofeng Song, Zhihuan 2016-08-23T11:30:49Z 2016-08-23T11:30:49Z 2016-08-09
dc.identifier.citation Lingjian Ye, Yi Cao, Xiaofeng Yuan, Zhihuan Song, Subset Measurement Selection for Globally Self-Optimizing Control of Tennessee Eastman Process*, IFAC-PapersOnLine, Volume 49, Issue 7, 2016, Pages 121-126 en_UK
dc.identifier.issn 2405-8963
dc.description.abstract The concept of globally optimal controlled variable selection has recently been proposed to improve self-optimizing control performance of traditional local approaches. However, the associated measurement subset selection problem has not be studied. In this paper, we consider the measurement subset selection problem for globally self-optimizing control (gSOC) of Tennessee Eastman (TE) process. The TE process contains substantial measurements and had been studied for SOC with controlled variables selected from individual measurements through exhaustive search. This process has been revisited with improved performance recently through a retrofit approach of gSOC. To extend the improvement further, the measurement subset selection problem for gSOC is considered in this work and solved through a modification of an existing partially bidirectional branch and bound (PB3) algorithm originally developed for local SOC. The modified PB3 algorithm efficiently identifies the best measurement candidates among the full set which obtains the globally minimal economic loss. Dynamic simulations are conducted to demonstrate the optimality of proposed results. en_UK
dc.language.iso en en_UK
dc.publisher Elsevier en_UK
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International en_UK
dc.subject Tennessee Eastman en_UK
dc.subject Self-optimizing control en_UK
dc.subject Controlled variable en_UK
dc.subject Plant-wide control en_UK
dc.title Subset measurement selection for globally self-optimizing control of Tennessee Eastman process en_UK
dc.type Article en_UK

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