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Dynamic Neural Network Based Nonlinear Control of a Distillation Column

Author(s): Feng Li

Journal: Intelligent Control and Automation
ISSN 2153-0653

Volume: 02;
Issue: 04;
Start page: 383;
Date: 2011;
Original page

Keywords: Distillation Column | Dynamic Neural Network | Nonlinear H∞ Control

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.
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