Adaptive MPC method of VCM distillation process by acetylene method based on RELS

PANG Qiang; ZOU Tao; CONG Qiumei

doi:10.11949/j.issn.0438-1157.20141005

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Adaptive MPC method of VCM distillation process by acetylene method based on RELS

更新时间：2025-12-10

- Adaptive MPC method of VCM distillation process by acetylene method based on RELS
- CIESC Journal Issue 2, Pages: 662-668(2015)
- 作者机构：
  
  中国科学院沈阳自动化研究所, 流程工业综合自动化国家重点实验室,辽宁,沈阳,110016
- 作者简介：
- 基金信息：
- DOI：10.11949/j.issn.0438-1157.20141005
  CLC： P273
- Online First：05 February 2015，
  
  Published：05 February 2015
- 稿件说明：
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PANG Qiang, ZOU Tao, CONG Qiumei. Adaptive MPC method of VCM distillation process by acetylene method based on RELS[J]. CIESC Journal, 2015, (2): 662-668.
DOI：

PANG Qiang, ZOU Tao, CONG Qiumei. Adaptive MPC method of VCM distillation process by acetylene method based on RELS[J]. CIESC Journal, 2015, (2): 662-668. DOI： 10.11949/j.issn.0438-1157.20141005.

摘要

为抑制非平稳扰动对具有积分特性的乙炔法VCM精馏过程的影响

提出了一种有效的自适应MPC方法。由于高沸塔塔釜中会不断沉积高沸物

表现出很强的积分特性

因此

将高沸塔塔釜液位作为积分变量进行控制;同时

针对VCM进料温度等因素对高沸塔塔釜液位产生的非平稳扰动

首先

利用RELS算法实时的估计影响高沸塔塔釜液位的扰动

然后

计算扰动在预测误差中所占的比例

最后

通过实时更新旋转因子的数值实现对积分过程的自适应MPC。工业试验结果表明:提出的自适应MPC方法能够有效克服非平稳扰动

高沸塔塔釜液位的标准差为2.6616

比采用自适应MPC方法之前减少了60.7%

验证了该方法的有效性。

Abstract

In order to restrain the influence of non-stationary disturbance to VCM distillation process with integral characteristics by the acetylene method

an effective adaptive MPC method was presented. Due to the integral characteristics of the high boiling tower caused by settling of high-boiling residues to the bottom of tower

liquid level of the high boiling tower was taken as integral variable. Furthermore

in order to restrain the influence of non-stationary disturbance to liquid level of the high boiling tower caused by feed temperature of VCM and other factors

firstly

RELS (recursive extended least squares) algorithm was used to estimate the disturbance; secondly

the proportion of prediction error caused by the disturbance was calculated. Lastly

twiddle factor of adaptive MPC was updated real-time to realize the control of liquid level. Industrial experiments indicated that the adaptive MPC could overcome the non-stationary disturbance effectively

and standard deviation of liquid level was 2.6616 which was reduced by 60.7% than before. The effectiveness of the adaptive MPC was proved.

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