Optimization and nonlinear control of a batch crystallization process

Journal of The Chinese Institute of Chemical Engineers Pub Date : 2008-05-01 DOI:10.1016/j.jcice.2007.12.017

Woranee Paengjuntuek, Paisan Kittisupakorn, Amornchai Arpornwichanop

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引用次数: 37

Abstract

Crystallization process has been widely used for separation in many chemical industries due to its capability to provide high purity product. To obtain the desired quality of crystal product, an optimal cooling control strategy is studied in the present work. Within the proposed control strategy, a dynamic optimization is first preformed with the objective to obtain the optimal cooling temperature policy of a batch crystallizer, maximizing the total volume of seeded crystals. Two different optimization problems are formulated and solved by using a sequential optimization approach. Owing to the complex and nonlinear behavior of the batch crystallizer, the nonlinear control strategy which is based on a generic model control (GMC) algorithm is implemented to track the resulting optimal temperature profile. The optimization integrated with nonlinear control strategy is demonstrated on a seeded batch crystallizer for the production of potassium sulfate.

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间歇结晶过程的优化与非线性控制

结晶法因其能提供高纯度的分离产物而被广泛应用于许多化工行业。为了获得理想的结晶产品质量，本文研究了一种最优冷却控制策略。在所提出的控制策略中，首先进行了动态优化，目标是获得间歇式结晶器的最佳冷却温度策略，使种子晶体的总体积最大化。提出了两种不同的优化问题，并采用顺序优化方法进行了求解。针对间歇式结晶器的复杂非线性特性，采用基于通用模型控制(GMC)算法的非线性控制策略来跟踪所得到的最优温度分布。以硫酸钾种子间歇式结晶器为例，进行了非线性控制策略的优化设计。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Journal of The Chinese Institute of Chemical Engineers

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