Abstract

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.

Highlights

  • Chromatography is an indispensable and important technology in the manufacturing process of chemical products and biomedicine

  • EXPERIMENTS RESULTS firstly we use the automatic advance fuzzy controller to control the purity of Simulated moving bed (SMB) system, Fig. 7 and fig. 8 show the control results

  • In the experiment showed in fig.8, the switching time is 178 second and the desired purities of materials A and B are A = 0.93 and B = 0.95.The actual purities produced by SMB are A = 0.9319 and B = 0.9519

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Summary

INTRODUCTION

Chromatography is an indispensable and important technology in the manufacturing process of chemical products and biomedicine. SMB is a continuous process technology that can improve the efficiency of adsorbent in the adsorption bed. This SMB technology with multiple columns reduces the solvent and water content consumption, as well as improving the production capacity; it is recognized as the cleanest manufacturing technology in the biomedical industry [1]–[3]. The liquid entering the zone II from zone I has strong adsorption capacity, so A in the adsorbent is continuously replaced by B and enters zone III along with the flowing liquid and fresh feed (A and B);Zone III (attached) is the desorption zone of component A. The traditional control theory is inapplicable to SMB system, and it is not easy to achieve, so it still stays in simple PLC control

LITERATURE REVIEWS
SIMULATION
EXPERIMENTS RESULTS
CONCLUSION

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