Combination of multi-model predictive control and the wave theory for the control of simulated moving bed plants

2011 ◽  
Vol 66 (4) ◽  
pp. 632-641 ◽  
Author(s):  
Carlos Vilas ◽  
Alain Vande Wouwer
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chaofan Xie ◽  
Yang-jie Tang

AbstractSimulated moving bed (SMB) is a kind of continuous process which can increase the efficiency of adsorbents in the adsorbent bed. It contains several sectors of flow rate, the switching time of valves and many other possible influencing variables, moreover, these parameters are highly sensitive, so it is very difficult to achieve precise prediction and control. Model predictive control and PID controller are often used in industrial system. Model predictive control needs a lot of accurate industry experience data, and PID controller depends on the selection of control parameters. Therefore, SMB needs an intelligent controller to bypass those complex mechanisms and parameter adjustment processes. This paper we propose the hierarchical fuzzy controller fuzzy controller which is applied to the SMB system to observe the final concentration. Compared with the PID and MPC controller, it is found that the hierarchical fuzzy controller can control good without knowing the system parameters too accurately.


2005 ◽  
Vol 38 (1) ◽  
pp. 91-96 ◽  
Author(s):  
N. Dejardin ◽  
M. Alamir ◽  
J.P. Corriou

2004 ◽  
Vol 37 (3) ◽  
pp. 463-468
Author(s):  
N. Dejardin ◽  
M. Alamir ◽  
J.P. Corriou

2020 ◽  
Vol 59 (5) ◽  
pp. 1979-1988
Author(s):  
Idelfonso B. R. Nogueira ◽  
Márcio A. F. Martins ◽  
Alírio E. Rodrigues ◽  
José M. Loureiro ◽  
Ana M. Ribeiro

Sign in / Sign up

Export Citation Format

Share Document