论文信息 - MIQP formulation for Controlled Variable Selection in Self Optimizing Control

MIQP formulation for Controlled Variable Selection in Self Optimizing Control

Abstract In order to facilitate the optimal operation in the presence of process disturbances, the optimal selection of controlled variables plays a vital role. In this paper, we present a Mixed Integer Quadratic Programming methodology to select controlled variables c=Hy as the optimal combinations of fewer/all measurements of the process. The proposed method is evaluated on a toy test problem and on a binary distillation column case study with 41 trays.

Sigurd Skogestad | Ramprasad Yelchuru | Henrik Manum

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