Abstract
Abstract This paper introduces industrial application of model predictive control (MPC) for the series of columns in a linear alkylbenzene (LAB) complex. The APC system that is consisted of twelve controlled variables, twelve manipulated variables and eight disturbance variables is used to deal with the constrained multivariable control problem of the distillation columns. Firstly, process modelling that includes experimental test and process identification is presented. Then, the construction and implementation of the APC system for the distillation columns are discussed. Industrial application results show that the APC system can maintain the best operation for a long time and realize ultimate operating potential of the distillation columns.
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