Application of Intelligent Control in Chromatography Separation Process

Author:

Xie Chao-Fan1,Zhang Hong2ORCID,Hwang Rey-Chue3

Affiliation:

1. School of Big Data and Artificial Intelligence, Fujian Polytechnic Normal University, Fuqing 350300, China

2. Key Laboratory of Nondestructive Testing, Fujian Polytechnic Normal University, Fuqing 350300, China

3. Department of Electrical Engineering, I-Shou University, Kaohsiung 84001, Taiwan

Abstract

Chromatographic separation plays a pivotal role in the manufacturing of chemical products and biopharmaceuticals. This technique exploits differences in distribution between stationary and mobile phases to separate mixtures, impacting final product quality. Simulated moving bed (SMB) technology, recognized for its continuous feed, enhances efficiency and increases production capacity while reducing solvent and water consumption. Despite its complexity in controlling variables like flow rates and valve switching times, traditional control theories fall short. This study introduces an intelligent fuzzy controller resembling an approximate neural network (NN) for SMB control. Simulation results demonstrate the controller’s effectiveness in achieving desirable outcomes for the SMB system.

Publisher

MDPI AG

Subject

Process Chemistry and Technology,Chemical Engineering (miscellaneous),Bioengineering

Reference28 articles.

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5. Gomes, P.S. (2009). Methodologies and Product (FlexSMB-LSRE) Development. [Ph.D. Thesis, Faculdade de Engenharia da Universidade do Porto (FEUP)].

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