放热间歇过程的监督与控制

R. Perne
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引用次数: 2

摘要

本文设计了一种基于模型的放热化学反应监测与控制系统,特别是批处理过程。自适应扩展卡尔曼滤波器重建过程状态以及反应参数,贝叶斯-马尔可夫过程允许区分正常和不需要的过程状态。新概念大大减少了批次的时间,并在非常早期的阶段警告危险状态,留下足够的时间进行反击。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Supervision and control of an exothermic batch process

A model based supervision and control system has been designed for exothermic chemical reactions, and batch processes in particular. Adaptive, extended Kalman filters reconstuct process states as well as reaction parameters and a Bayes-Markov process allows to discriminate between normal and unwanted process states. The new concept considerably reduces the time for one batch and warns of hazardous states at a very early stage, leaving enough time for counter actions.

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