Two-time scale modeling and dynamic characteristics analysis of flash tank in TE process

LUO Xionglin; ZHAO Han; XU Feng

doi:10.11949/j.issn.0438-1157.20140925

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Two-time scale modeling and dynamic characteristics analysis of flash tank in TE process

更新时间：2025-12-10

- Two-time scale modeling and dynamic characteristics analysis of flash tank in TE process
- CIESC Journal Issue 1, Pages: 186-196(2015)
- 作者机构：
  
  中国石油大学自动化系,北京,102249
- 作者简介：
- 基金信息：
- DOI：10.11949/j.issn.0438-1157.20140925
  CLC： Q021.8TP273
- Online First：05 January 2015，
  
  Published：05 January 2015
- 稿件说明：
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LUO Xionglin, ZHAO Han, XU Feng. Two-time scale modeling and dynamic characteristics analysis of flash tank in TE process[J]. CIESC Journal, 2015, (1): 186-196.
DOI：

LUO Xionglin, ZHAO Han, XU Feng. Two-time scale modeling and dynamic characteristics analysis of flash tank in TE process[J]. CIESC Journal, 2015, (1): 186-196. DOI： 10.11949/j.issn.0438-1157.20140925.

摘要

闪蒸罐是工业常用的化工单元设备

在对其进行动态机理建模时

气相物质的动态特性方程被拟稳态处理转化为稳态代数方程

而液相仍为微分方程。由此一来

与气相相关的压力的真实动态信息无法得到

而是完全依赖于液相相态的变化。基于闪蒸罐的化工动态学机理和“拟稳态”的系统特点

通过增加快变量的动态物料守恒关系式

还原系统的气相快暂态过程

建立了TE过程闪蒸罐的双时间尺度全阶模型。利用奇异摄动方法将全阶模型精确求解后

与拟稳态模型进行了仿真对比;最后

设计了全阶模型的压力控制回路

得到很好的控制效果

验证了建模方法的合理性和工业应用价值。

Abstract

In establishing the mechanistic dynamic model of flash tank

a commonly used industrial chemical unit

the liquid-phase characteristic equation is differential

while the gas-phase characteristic equation is algebraic

treated as "quasi-steady-state". Therefore

the realistic dynamic response of pressure can not be obtained

but is completely attached to the dynamic response of the liquid-phase. In this paper

the algebraic equation of pressure was replaced with dynamic differential equation and the model to two-time scale was established. The singular perturbation method was used to precisely calculate the full-order model

and compared with the quasi-steady-state model. The control system for the established two-time scale model was designed. Compared with the performance of quasi-steady-state model

the full-order model provided better control performance

which also illustrated the rationality of modeling and its practical significance.

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