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Optimal control of batch MMA polymerization with specified time, monomer conversion, and average polymer molecular weights

机译:在指定时间,单体转化率和平均聚合物分子量的情况下,最佳控制间歇式MMA聚合

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摘要

In this paper, the optimal control policies are determined for the free-radical polymerization of methyl methacrylate (MMA) in a non-isothermal batch reactor. The temperature of the fluid inside reactor-jacket is used as the control function to realize four different optimal control objectives. Each objective is formulated to optimize a given variable simultaneously specifying another. The first two objectives target the maximization of monomer conversion in a specified operation time, and the minimization of operation time for a specified, final monomer conversion. The last two objectives target the maximization of monomer conversion for specified, final number- and weight-average polymer molecular weights. The realization of these objectives is expected to be very useful for the batch production of polymers. To meet the specification of an optimization variable other than time, the differential model of batch process is expressed and utilized in the range of specified variable. Equations are provided for Jacobian evaluations to help in the accurate solution of process model. A genetic algorithms-based optimal control method is applied to realize the four optimal control objectives. The results of this application show considerable improvements in the performance of batch MMA polymerization.
机译:在本文中,确定了在非等温间歇式反应器中甲基丙烯酸甲酯(MMA)自由基聚合的最佳控制策略。反应器夹套内部的流体温度用作控制功能,以实现四个不同的最佳控制目标。制定了每个目标,以优化同时指定另一个目标的给定变量。前两个目标的目标是在指定的操作时间内最大程度地提高单体转化率,并在指定的最终单体转化率方面实现最小化操作时间。最后两个目标是针对特定的最终数均和重均聚合物分子量,使单体转化率最大化。预期这些目标的实现对于聚合物的批量生产非常有用。为了满足除时间以外的优化变量的规格要求,在指定变量的范围内表达并利用了批处理的微分模型。提供了用于雅各比式评估的方程式,以帮助精确求解过程模型。应用基于遗传算法的最优控制方法实现了四个最优控制目标。该申请的结果表明,在间歇式MMA聚合反应的性能上有相当大的改进。

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