Open AccessApplication of Artificial Neural Network in Distillation System: A Critical Review of Recent Progress
Author(s) -
Chunli Li,
Chunyu Wang
Publication year - 2021
Publication title -
asian journal of research in computer science
Language(s) - English
Resource type - Journals
ISSN - 2581-8260
DOI - 10.9734/ajrcos/2021/v11i130252
Subject(s) - fractionating column , artificial neural network , distillation , robustness (evolution) , computer science , interconnection , control theory (sociology) , control engineering , control (management) , artificial intelligence , engineering , chemistry , computer network , biochemistry , organic chemistry , gene
Distillation is a unit operation with multiple input parameters and multiple output parameters. It is characterized by multiple variables, coupling between input parameters, and non-linear relationship with output parameters. Therefore, it is very difficult to use traditional methods to control and optimize the distillation column. Artificial Neural Network (ANN) uses the interconnection between a large number of neurons to establish the functional relationship between input and output, thereby achieving the approximation of any non-linear mapping. ANN is used for the control and optimization of distillation tower, with short response time, good dynamic performance, strong robustness, and strong ability to adapt to changes in the control environment. This article will mainly introduce the research progress of ANN and its application in the modeling, control and optimization of distillation towers.