TITLE:
Dynamic Neural Network Based Nonlinear Control of a Distillation Column
AUTHORS:
Feng Li
KEYWORDS:
Distillation Column, Dynamic Neural Network, Nonlinear H∞ Control
JOURNAL NAME:
Intelligent Control and Automation,
Vol.2 No.4,
November
2,
2011
ABSTRACT: Taking advantage of the knowledge of top and bottom compositions of a distillation column, a dynamic neural network (DNN) is designed to identify the input-output relationship of the column. The weight-training algorithm is derived from a Lyapunov function. Based on this empirical model, a nonlinear H∞ controller is synthesized. The effectiveness of the control strategy is demonstrated using simulation results.