基于改进状态转移算法的串级平推流反应器动力学参数估计

薛永飞; 王雅琳; 孙备; 李钱钟; 孙家舟

doi:10.11949/j.issn.0438-1157.20181343

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基于改进状态转移算法的串级平推流反应器动力学参数估计

过程系统工程 | 更新时间：2026-07-24

- 基于改进状态转移算法的串级平推流反应器动力学参数估计
- Improved state transfer algorithm-based kinetics parameter estimation for cascaded plug flow reactors
- 化工学报 2019年70卷第2期页码：607-616
- 作者机构：
  
  1.中南大学信息科学与工程学院，湖南长沙 410083
  2.中国科学院自动化研究所，北京 100190
- 作者简介：
  
  薛永飞（1988—），男，博士研究生，xueyongfei@csu.edu.cn
  王雅琳（1973—），女，博士，教授，ylwang@csu.edu.cn
- 基金信息：
  
  国家自然科学基金重大项目(61590921);国家自然科学基金青年项目(61603418)
- DOI：10.11949/j.issn.0438-1157.20181343
  中图分类号： TP 273
- 收稿：2018-11-15，
  
  修回：2018-11-21，
  
  网络首发：2020-06-16，
  
  纸质出版：2019-02-05
- 稿件说明：
移动端阅览
薛永飞, 王雅琳, 孙备, 李钱钟, 孙家舟. 基于改进状态转移算法的串级平推流反应器动力学参数估计[J]. 化工学报, 2019, 70(2): 607-616

XUE Yongfei, WANG Yalin, SUN Bei, LI Qianzhong, SUN Jiazhou. Improved state transfer algorithm-based kinetics parameter estimation for cascaded plug flow reactors[J]. CIESC Journal, 2019, 70(2): 607-616
薛永飞, 王雅琳, 孙备, 李钱钟, 孙家舟. 基于改进状态转移算法的串级平推流反应器动力学参数估计[J]. 化工学报, 2019, 70(2): 607-616 DOI： 10.11949/j.issn.0438-1157.20181343.

XUE Yongfei, WANG Yalin, SUN Bei, LI Qianzhong, SUN Jiazhou. Improved state transfer algorithm-based kinetics parameter estimation for cascaded plug flow reactors[J]. CIESC Journal, 2019, 70(2): 607-616 DOI： 10.11949/j.issn.0438-1157.20181343.

摘要

实际化工过程反应系统通常由若干个相互关联的平推流反应器串级构成，要建立其机理模型，并估计其动力学参数，就必须反复求解大规模非线性微分方程组，计算代价较高。针对智能优化算法在求解昂贵优化问题时计算成本过高，而工业过程模型往往只需要找到一组满意解即可的特点，提出了一种基于改进状态转移算法的串级平推流反应器动力学参数估计方法。该算法在保留标准状态转移算法全局寻优能力和快速收敛能力的同时，利用对立算子优化初始种群，并根据误差阈值判定满意解中止条件，可有效节约计算时间。以实际炼油企业的加氢裂化装置为研究对象，采用所提方法对其反应系统的动力学参数进行估计，仿真结果表明了所提方法的有效性。

Abstract

The actual chemical process reaction system usually consists of several interconnected cascaded reactor. To establish its mechanism model and estimate its dynamic parameters

it is necessary to repeatedly solve large-scale nonlinear differential equations. The calculation is very expensive. Since this parameter optimization process involves solving large sets of differential equations

it is very time consuming. According to the problem that intelligent optimization algorithm always needs enormous computing resource while a satisfied solution is acceptable for an industrial application

an improved state transfer algorithm (STA) is proposed to estimate the kinetics parameters of the cascaded plug flow reactors model. This method uses an opposite operator to initialize the start status of STA

and a tolerable error threshold to break the optimization process. This improvement is helpful since much computing time is saved while the global search capability and fast convergence capability of standard STA are retained. Simulation study

whose target is optimization the kinetics parameters of the cascaded plug flow reactors of an industrial hydrocracking process

verified the effectiveness and superiority of this proposed method.

关键词

Keywords

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