Abstract

The control problem of a multicomponent distillation column is discussed in this paper. A new dynamic mathematical model of nonideal distillation process is derived. Since it contains an implicit recursive procedure, the traditional identification methods cannot be applied, a differential neural network is used to identify this system. Based on the neural identifier, a local optimal neuro controller is proposed. Numerical simulations, concerning a distillation column with 5 components and 15 trays, illustrate the effectiveness of the suggested approach.

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