Fast Estimation of Plant Steady State for Imperfectly Known Dynamic Systems, with Application to Real-Time Optimization,Industrial & Engineering Chemistry Research

当前位置： X-MOL 学术 › Ind. Eng. Chem. Res. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

Fast Estimation of Plant Steady State for Imperfectly Known Dynamic Systems, with Application to Real-Time Optimization
Industrial & Engineering Chemistry Research ( IF 3.8 ) Pub Date : 2018-03-05 00:00:00 , DOI: 10.1021/acs.iecr.7b04631
Diogo Rodrigues ₁ , Michael Amrhein ₁ , Julien Billeter ₁ , Dominique Bonvin ₁

Affiliation

Experimental assessment or prediction of plant steady state is important for many applications in the area of modeling and operation of continuous processes. For example, the iterative implementation of static real-time optimization requires reaching steady state for each successive operating point, which may be quite time-consuming. This paper presents an approach to speed up the estimation of plant steady state for imperfectly known dynamic systems that are characterized by (i) the presence of fast and slow states, with no effect of the slow states on the fast states, and (ii) the fact that the unknown part of the dynamics depends only on the fast states. The proposed approach takes advantage of measurement-based rate estimation, which consists in estimating rate signals without the knowledge or identification of rate models. Since one can use feedback control to speed up the convergence to steady state of the fast part of the plant, this rate estimation allows estimating the steady state of the slow part during transient operation. It is shown how this approach can be used to speed up the static real-time optimization of continuous processes. A simulated example illustrates its application to a continuous stirred-tank reactor.

中文翻译：

不完全已知动态系统的植物稳态快速估计及其在实时优化中的应用

工厂稳态的实验评估或预测对于连续过程的建模和操作领域中的许多应用很重要。例如，静态实时优化的迭代实现需要为每个连续的工作点达到稳定状态，这可能会非常耗时。本文提出了一种方法来加快不完全已知的动态系统的工厂稳态估计，该系统的特征是（i）快速状态和慢速状态的存在，而慢速状态对快速状态没有影响，以及（ii）动态的未知部分仅取决于快速状态这一事实。所提出的方法利用了基于测量的速率估计的优势，该速率估计包括在不知道或不识别速率模型的情况下估计速率信号。由于可以使用反馈控制来加快收敛至工厂快速部分的稳态，因此该速率估算允许估算瞬态运行期间慢速部分的稳态。展示了如何使用这种方法来加快连续过程的静态实时优化。一个模拟的例子说明了它在连续搅拌釜反应器中的应用。

更新日期：2018-03-06

点击分享查看原文

点击收藏

阅读更多本刊最新论文本刊介绍/投稿指南11