Open AccessOptimizing control of adsorption separation processes based on the improved moving asymptotes algorithm
Author(s) -
Yuexiang Yang,
Xuebo Chen,
Na Zhang
Publication year - 2018
Publication title -
adsorption science and technology
Language(s) - English
Resource type - Journals
eISSN - 2048-4038
pISSN - 0263-6174
DOI - 10.1177/0263617418804001
Subject(s) - asymptote , simulated moving bed , process (computing) , mathematical optimization , algorithm , collocation (remote sensing) , orthogonal collocation , controller (irrigation) , control theory (sociology) , computer science , minification , mathematics , collocation method , control (management) , adsorption , chemistry , artificial intelligence , mathematical analysis , differential equation , ordinary differential equation , organic chemistry , machine learning , agronomy , biology , operating system
We adopt the orthogonal collocation finite element method to solve an equilibrium diffusion model of a simulated moving bed chromatography separation process. We propose an optimization strategy based on the improved moving asymptotes algorithm to improve system performance indexes. By the triangle theory, we verify the feasibility of the improved moving asymptotes method. The simulation results illustrate that the improved moving asymptotes method converges quickly and results in uniformly distributed optimal solutions. This work aims to show that the simulated moving bed process can be dynamically controlled and optimized using an optimizing controller based on the method of improved moving asymptotes, facilitating the design and operation of a simulated moving bed.