Title :
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
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;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7162471
