Discrete Dynamic System Modeling for Simulated Moving Bed Processes

Chao-Fan Xie, Hong Zhang and Rey-Chue Hwang ()
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Chao-Fan Xie: Department of Big Data and Artificial Intelligence, Fujian Polytechnic Normal University, Fuzhou 350300, China
Hong Zhang: Key Laboratory of Nondestructive Testing, Fujian Polytechnic Normal University, Fuzhou 350300, China
Rey-Chue Hwang: Department of Electrical Engineering, I-Shou University, Kaohsiung 84001, Taiwan

Mathematics, 2024, vol. 12, issue 10, 1-24

Abstract: Although the simulated moving bed (SMB) process boasts advantages such as high productivity and low consumption, the cost of obtaining optimized parameters through practical experiments to control the separation process can be enormous due to its complex nonlinear characteristics. Consequently, the successful transformation of the SMB separation process into a mathematical dynamic model for computer simulation would greatly reduce the research costs associated with experimental studies. In this study, the Crank–Nicolson method was employed to discretize and dynamize the SMB process, enabling the simulation of processes under both linear and Langmuir isotherms. The results of the simulation experiments demonstrated the feasibility and high efficiency of this approach, thereby establishing a solid foundation for further advancements in online control strategies.

Keywords: Crank–Nicolson; discretize; control (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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