Modelling and minimum variance covariance constrained control of acetylene hydrogenation industrial device

Author

Xu Xinke ; Zhao Zhong

Author_Institution

Res. Inst. of Autom., Beijing Univ. of Chem. Technol., Beijing, China

fYear

2015

fDate

23-25 May 2015

Firstpage

3196

Lastpage

3203

Abstract

According to the mechanism of acetylene hydrogenation reaction, which is a complex industrial process, the model structure is derived. The model parameters are estimated by the least square method, and by the off-line verification the accuracy of the model is confirmed. Besides, in this paper, minimum variance constrained control is improved, using the LMI (linear matrix inequality), and this method is adopted in the state space model. The control results are verified through the industrial application as well.

Keywords

chemical industry; hydrogenation; least squares approximations; linear matrix inequalities; parameter estimation; state-space methods; LMI; acetylene hydrogenation industrial device control; acetylene hydrogenation reaction; least square method; linear matrix inequality; minimum variance constrained control; model parameter estimation; off-line verification; state-space model; Bismuth; Covariance matrices; Heating; Hydrogen; Inductors; Mathematical model; Steady-state; Acetylene Hydrogenation Reaction; Mechanism Modelling; Minimum Variance Constrained Control;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2015 27th Chinese

Conference_Location

Qingdao

Print_ISBN

978-1-4799-7016-2

Type

conf

DOI

10.1109/CCDC.2015.7162471

Filename

7162471