Optimizing control of an experimental simulated moving bed unit

AIChE Journal ◽  
2006 ◽  
Vol 52 (4) ◽  
pp. 1481-1494 ◽  
Author(s):  
Gültekin Erdem ◽  
Manfred Morari ◽  
Mohammad Amanullah ◽  
Marco Mazzotti ◽  
Massimo Morbidelli
Adsorption ◽  
2007 ◽  
Vol 14 (2-3) ◽  
pp. 423-432 ◽  
Author(s):  
Cristian Grossmann ◽  
Mohammad Amanullah ◽  
Manfred Morari ◽  
Marco Mazzotti ◽  
Massimo Morbidelli

2006 ◽  
Vol 1113 (1-2) ◽  
pp. 60-73 ◽  
Author(s):  
In-Hyoup Song ◽  
Mohammad Amanullah ◽  
Gültekin Erdem ◽  
Marco Mazzotti ◽  
Hyun-Ku Rhee

2011 ◽  
Vol 1218 (38) ◽  
pp. 6843-6847 ◽  
Author(s):  
Kiwoong Kim ◽  
Jin-Il Kim ◽  
Hyukmin Park ◽  
Yoon-Mo Koo ◽  
Kwang Soon Lee

2010 ◽  
Vol 49 (23) ◽  
pp. 11996-12003 ◽  
Author(s):  
Christian Langel ◽  
Cristian Grossmann ◽  
Simon Jermann ◽  
Marco Mazzotti ◽  
Manfred Morari ◽  
...  

Adsorption ◽  
2013 ◽  
Vol 20 (1) ◽  
pp. 109-119
Author(s):  
Shigeharu Katsuo ◽  
Cristian Grossmann ◽  
Manfred Morari ◽  
Marco Mazzotti

2018 ◽  
Vol 36 (9-10) ◽  
pp. 1716-1733
Author(s):  
Yonghui Yang ◽  
Xuebo Chen ◽  
Na Zhang

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.


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