Quantitative optimization method and application of dynamic process systems with time delay and parametric uncertainty

HUANG Weiqing; LI Xiuxi; QIAN Yu

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Quantitative optimization method and application of dynamic process systems with time delay and parametric uncertainty

更新时间：2025-12-10

- Quantitative optimization method and application of dynamic process systems with time delay and parametric uncertainty
- CIESC Journal Issue S1, Pages: 83-89(2009)
- 作者机构：
  
  华南理工大学化学与化工学院
- 作者简介：
- 基金信息：
- DOI：
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- Online First：30 December 2009，
  
  Published：30 December 2009
- 稿件说明：
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HUANG Weiqing, LI Xiuxi, QIAN Yu. Quantitative optimization method and application of dynamic process systems with time delay and parametric uncertainty[J]. CIESC Journal, 2009, (S1): 83-89.
DOI：

HUANG Weiqing, LI Xiuxi, QIAN Yu. Quantitative optimization method and application of dynamic process systems with time delay and parametric uncertainty[J]. CIESC Journal, 2009, (S1): 83-89. DOI：

摘要

许多动态化工系统含有不确定参数。当含不确定参数的过程系统又带有滞后环节时，系统的优化问题就变得非常复杂。对含不确定参数的化工系统的动态过程进行优化，若未考虑滞后环节对动态优化结果的影响，不能保证系统实际操作的优化及安全运行。本文采用改进的有限元正交配置优化算法，较好地解决了含有滞后、不确定参数的化工过程的动态优化问题。最后将一个具有循环返料的反应-分离器系统以及一个绝热反应釜作为案例对该优化方法的应用进行分析，根据案例的研究验证了该优化方法的有效性，从而为含有滞后、不确定参数的动态系统的设计和操作性能优化提供一种有效的定量分析方法和理论依据。

Abstract

Many typical chemical dynamic systems include uncertain parameters

which can put a lot of influences to the system design and performance.The system optimization problems become more complexity when systems cherish with uncertain parameters and time delay together.The effect of the time delay on the result of the dynamic optimization for chemical process system with uncertain parameters is considered in this paper.In order to solve this complicated optimization problem

the improved finite collation method is provided.By the improved optimization algorithm

the optimization problem of dynamic systems including uncertainty and time delay can be solved availably.The validity of the proposed approach is demonstrated by the analysis and simulation result of the reactor-separator chemical system train with delayed recycle and the non-adiabatic reactor case study.So a quantitative analysis method and theory is provided finally for the dynamic system design and operation optimization under uncertainty and time delay.

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