A simple robust control for simulated moving bed chromatographic separation

Suvarov, Paul; Wouwer, Alain Vande; Kienle, Achim

doi:10.3182/20120710-4-sg-2026.00098

Cited by 13 publications

(13 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The results show that the desired optimization is achieved. Other controller research on SMB can be found in literature [22][23][24][25][26][27][28][29].…”

Section: Literature Reviewsmentioning

confidence: 99%

An Automatic Advanced Fuzzy Controller for Simulated Moving Bed

Xie

Tang

2021

IEEE Access

View full text Add to dashboard Cite

Simulated moving bed (SMB) is one of the most successful technologies in chromatographic separation, which is widely used in chemical industry and food industry. There are many parameters that can affect the separation effect of SMB, and the sensitivity is very strong, so the effective control is always a difficulty problem for SMB. In this paper, a self-tuning advanced fuzzy controller is proposed to control the purity of the SMB outlet, and the study finds it has smaller steady-state error and better adaptability of in SMB when compares with the traditional and advance fuzzy type controller.

show abstract

“…The results show that the desired optimization is achieved. Other controller research on SMB can be found in literature [22][23][24][25][26][27][28][29].…”

Section: Literature Reviewsmentioning

confidence: 99%

An Automatic Advanced Fuzzy Controller for Simulated Moving Bed

Xie

Tang

2021

IEEE Access

View full text Add to dashboard Cite

show abstract

“…In order to reach a total purity of the separation, industrial SMB processes are generally implemented with eight (e.g. [16]) or even twelve columns (e.g. [10]).…”

Section: Simulation Experimentsmentioning

confidence: 99%

“…As said by the authors of that paper, this kind of analysis is "relevant when the switching mechanism is either unknown or too complicated for a more careful stability analysis". In this paper our purpose is to address the Issue B through the specific example of SMB chromatography [16] and to show how exponential stability (in L 2 -norm) can be established when the switching mechanism is precisely defined. The obtained stability conditions are direct generalizations of the corresponding results for the unswitched case.…”

Section: Introductionmentioning

confidence: 99%

Stability analysis of switching hyperbolic systems: the example of SMB chromatography

Bastin

Coron

d’Andréa-Novel

et al. 2014

2014 European Control Conference (ECC)

Self Cite

View full text Add to dashboard Cite

Abstract-This paper addresses the issue of the exponential stability of hybrid hyperbolic systems with switching boundary conditions. Our contribution is to show, through the specific example of SMB chromatography, how exponential stability (in L2-norm) can be established when the switching mechanism is precisely defined. The obtained stability conditions are direct generalizations of the corresponding results for the unswitched case.

show abstract

“…(4) To increase the production capacity, the precise and effective control of the multiple-column SMB has always been a challenging problem. (5)(6)(7)(8)(9)(10) In fact, the SMB is a very complex and nonlinear system; the current SMB mathematical model is only an approximate model and cannot fully represent the real dynamic behavior and state of the SMB's actual operation. (11)(12)(13) Therefore, the aim of this study is to find the actual separation process of an SMB and then construct an effective SMB control mechanism.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Substance Concentration in Simulated Moving Bed by Ultraviolet Sensor and Neural Network

Chen¹,

Hwang²,

Shen³

et al. 2020

Sensors and Materials

View full text Add to dashboard Cite

In chromatographic separation, the simulated moving bed (SMB) has been recognized as an important and the cleanest technology. Basically, the SMB is constructed of several columns in series, and can be operated continuously with a fixed switching time. Owing to the adsorption of different substances by the adsorbent, the concentration of the separated substance flowing in the columns changes with time. The success of chromatographic separation will be determined by the time change, substance flow rate, and other possible influencing factors. Therefore, if the concentration of the flowing substance in SMB columns can be sensed immediately, then the accurate control of the SMB can be executed. In this paper, the prediction of substance concentration in SMB chromatographic separation by using an ultraviolet (UV) sensor and a neural network (NN) is presented. In this study, a UV sensor was used to monitor the concentration of the substance, and the NN model was used to predict the substance concentration in real time. The predicted concentration can be used for the real-time control of the moving bed. From the research results shown, it is found that the real-time prediction of substance concentration by the NN based on the sensed UV light intensity can indeed reach a very high accuracy. This result is very promising for the future development of an SMB automatic control mechanism.

show abstract

A simple robust control for simulated moving bed chromatographic separation

Cited by 13 publications

References 24 publications

An Automatic Advanced Fuzzy Controller for Simulated Moving Bed

An Automatic Advanced Fuzzy Controller for Simulated Moving Bed

Stability analysis of switching hyperbolic systems: the example of SMB chromatography

Prediction of Substance Concentration in Simulated Moving Bed by Ultraviolet Sensor and Neural Network

Contact Info

Product

Resources

About