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Application of flexible recipes for model building, batch process optimization and control

机译:柔性配方在模型构建,批量过程优化和控制中的应用

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摘要

Unlike the traditionally fixed recipes in batch process operation, flexible recipes allow the adjustment of some of its relevant recipe items. These adjustments can either be predefined in cases of planned experimentation, or suggested by a formal process optimization or control algorithm on the basis of actual information. In both the response surface methodology and the simplex evolutionary operation (EVOP), some well-known methods for empirical model building and process optimization, flexible recipes are involved. Another application of flexible recipes arises in a feedforward quality control strategy of batch processes when variations in market or process conditions are known a priori. The experimental results of these strategies are presented for the batchwise production of benzylalcohol on a pilotplant scale. Experiments have been performed to obtain a reliable model of the yield. On the basis of this model, better process conditions have been suggested, which substantially deviate from the final simplex resulted from experiments within simplex EVOP. Finally, an adaptive feedforward control strategy has been applied for a priori known disturbances in the process inputs.
机译:与批处理操作中传统上固定的配方不同,灵活的配方允许调整其某些相关配方项目。这些调整可以在计划的实验中预先定义,也可以根据实际信息由正式的过程优化或控制算法来建议。在响应面方法和单纯形进化操作(EVOP)中,都涉及一些众所周知的经验模型构建和过程优化方法,以及灵活的配方。当事先知道市场或工艺条件的变化时,灵活配方的另一种应用出现在批处理的前馈质量控制策略中。提出了这些策略的实验结果,用于在中试规模上批量生产苄醇。已经进行了实验以获得可靠的产量模型。在此模型的基础上,提出了更好的工艺条件,该工艺条件与单面EVOP中的实验所产生的最终单面大不相同。最后,针对过程输入中的先验已知干扰,已经应用了自适应前馈控制策略。

著录项

  • 作者

    Keesman Karel J.;

  • 作者单位
  • 年度 1993
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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