文章基本信息

标题：Modeling and Optimization of the Drug Extraction Production Process
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作者：Dakuo He ; Zhengsong Wang ; Le Yang 等
期刊名称：Scientific Programming
印刷版ISSN：1058-9244
出版年度：2016
卷号：2016
DOI：10.1155/2016/3279423
出版社：Hindawi Publishing Corporation
摘要：Optimized control of the drug extraction production process (DEPP) aims to reduce production costs and improve economic benefit while meeting quality requirements. However, optimization of DEPP is hampered by model uncertainty. Thus, in this paper, a strategy that considers model uncertainty is proposed. Mechanistic modeling of DEPP is first discussed in the context of previous work. The predictive model used for optimization is then developed by simplifying the mechanism. Optimization for a single extraction process is first implemented, but this is found to lead to serious wastage of herbs. Hence, the optimization of a multiextraction process is then conducted. To manage the uncertainty in the model, a data-driven iterative learning control method is introduced to improve the economic benefit by adjusting the operating variables. Finally, fuzzy parameter adjustment is adopted to enhance the convergence rate of the algorithm. The effectiveness of the proposed modeling and optimization strategy is validated through a series of simulations.