Simulation of oxygen production             <italic style="font-style: italic">via</italic> VPSA optimized based on MPC control strategy

XING Rui; JIANG Nan; LIU Bing; AN Yaxiong; WANG Yayan; ZHANG Donghui

doi:10.11949/0438-1157.20190857

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Simulation of oxygen production via VPSA optimized based on MPC control strategy

Separation engineering | 更新时间：2026-07-24

- Simulation of oxygen production via VPSA optimized based on MPC control strategy
- CIESC Journal Vol. 71, Issue 2, Pages: 669-679(2020)
- 作者机构：
  
  化学工程联合国家重点实验室，天津大学化工学院化学工程研究所，天津 300072
- 作者简介：
- 基金信息：
- DOI：10.11949/0438-1157.20190857
  CLC： TQ 028.1
- Received：25 July 2019，
  
  Revised：2019-12-24，
  
  Online First：14 August 2020，
  
  Published：05 February 2020
- 稿件说明：
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邢瑞, 江南, 刘冰, 安亚雄, 汪亚燕, 张东辉. 基于MPC控制技术优化VPSA制氧工艺的模拟[J]. 化工学报, 2020, 71(2): 669-679

XING Rui, JIANG Nan, LIU Bing, AN Yaxiong, WANG Yayan, ZHANG Donghui. Simulation of oxygen production , via VPSA optimized based on MPC control strategy[J]. CIESC Journal, 2020, 71(2): 669-679
邢瑞, 江南, 刘冰, 安亚雄, 汪亚燕, 张东辉. 基于MPC控制技术优化VPSA制氧工艺的模拟[J]. 化工学报, 2020, 71(2): 669-679 DOI： 10.11949/0438-1157.20190857.

XING Rui, JIANG Nan, LIU Bing, AN Yaxiong, WANG Yayan, ZHANG Donghui. Simulation of oxygen production , via VPSA optimized based on MPC control strategy[J]. CIESC Journal, 2020, 71(2): 669-679 DOI： 10.11949/0438-1157.20190857.

摘要

针对真空变压吸附制氧在gPROMS软件中建立了严格的数学模型，基于LiLSX吸附剂设计了两塔八步的真空变压吸附流程生产纯度为92%的O

。对此流程进行优化，其纯度和回收率有了明显的改进。在此基础上，引入实际生产中经常存在的如进料流量的变化以及吸附性能降低等扰动因素，使模拟工作更接近实际。根据产品气中O

纯度的反馈，采用模型辨识技术设计了MPC控制器，用于预测控制VPSA过程的动态行为。开环和闭环控制结果的对比显示，流程在设计的MPC控制下展现出更好的结果，这表明MPC控制策略可以明显改善空气分离制氧的生产过程。

Abstract

A rigorous mathematical model was established in the gPROMS software for vacuum PSA oxygen production. Based on the LiLSX adsorbent

a two-stage

eight-

step vacuum PSA process was designed to produce O

with a purity of 92%. Changes in feed flow rate as well as the decrease of the adsorption property were set as disturbances to make the simulation work more close to reality. Meanwhile

time duration was set to change consistently according to the feedback of O

purity in product. The system identification model was then adopted and was used to predict the dynamic behavior of the VPSA process and to develop an MPC controller. Detailed performance under open-loop and closed-loop was listed and compared. The results demonstrated that the model shows an enhanced performance with the presence of random disturbances under closed-loop control. This suggested that the MPC control strategy can be implied to improve the oxygen-production process.

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references

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Simulation of oxygen production via VPSA optimized based on MPC control strategy

DOI：10.11949/0438-1157.20190857

摘要

Abstract

关键词

Keywords

references