C.A. Cruz-Villar and J. Alvarez-Gallegos (Mexico)
Preditive control; Multiobjective optimization; Distillation column; Hierarchical control
Hierarchical predictive control strategies for multicomponent distillation are developed when the distillation column is considered as a set of interconnected subsystems, one for each component in the fed mixture. In the lower level a nonlinear model based predictive control for each sub-system is computed, after an upper level coordination controller is applied by using the distance functions method from multiobjective programming. An analysis of local optimality conditions is also presented. Specifically, we investigate the effect of two criteria on the performance of the distillation column, energy consumption minimization and separation factor maximization.
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