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Published on: November 24, 2021
Purity control of simulated moving bed based on advanced fuzzy II controller.
Chao-Fan Xie1, Ting Lin1, Hong Zhang2
1Department of Big Data and Artificial Intelligence, Fujian Polytechnic Normal University, Fuzhou, China.
Advanced fuzzy controllers improve Simulated Moving Bed (SMB) chromatographic separation accuracy and stability. Introducing an acceleration term enhances extraction efficiency for materials A and B, outperforming traditional fuzzy logic methods.
Area of Science:
- Chemical Engineering
- Separation Technology
- Process Control
Background:
- Simulated Moving Bed (SMB) chromatography is optimal for separation but complex to control due to parameter sensitivity.
- Fuzzy controllers offer simplicity and robustness but traditional designs lack an error acceleration term.
- Error acceleration is crucial for steady-state optimization in control systems.
Purpose of the Study:
- To investigate the impact of incorporating an error acceleration term into fuzzy controllers for SMB chromatography.
- To compare the performance of advanced fuzzy I-type and II-type controllers against traditional fuzzy controllers.
- To evaluate the stability of advanced fuzzy controllers under variations in SMB process parameters.
Main Methods:
- Development and application of proactive fuzzy I-type and advanced fuzzy II-type controllers.
- Inclusion of a non-fuzzy acceleration term in the advanced fuzzy I-type controller.
- Analysis of extraction accuracy for materials A and B under different control strategies.
- Stability analysis concerning variations in moving bed parameters and switching time.
Main Results:
- Advanced fuzzy I-type controller improved extraction accuracy by 0.7% for material B and 0.1% for material A compared to the advanced fuzzy I-type controller.
- Compared to traditional fuzzy controllers, advanced fuzzy controllers improved material B accuracy by 0.35% with stable material A accuracy.
- Advanced fuzzy II-type controller showed 0.6% greater precision stability than the I-type controller under parameter variations.
- Traditional fuzzy controllers exhibited instability during switching time fluctuations, while the advanced fuzzy II-type controller maintained stability.
Conclusions:
- Incorporating an error acceleration term enhances SMB chromatographic separation accuracy and steady-state performance.
- Advanced fuzzy controllers, particularly the II-type, offer superior stability and robustness compared to traditional methods.
- The developed advanced fuzzy controllers provide a more reliable and efficient solution for complex SMB processes.
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