Application of Recursive Least Square Method in Identication of Dehydrogenation Reator

Authors

Guoyou Li, Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, 066004, China;
Ningning Gao, Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, 066004, China;
Wenhua Xia, Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, 066004, China;

Abstract

Abstract: The current production methods of styrene at home and abroad are mainly dhydrogenation of ethylbenzene which accounts for more than 90% of styrene production capacity in the world. To save energy, it was needed to optimize the system and its premise was to know the mathematical model of ethylbenzene dehydrogenation reactor. Due to the complexity of the reactor internal structure, mechanism modeling was more difficult to establish objective and accurate mathematics models. To solve this problem, it was used recursive least squares to conduct parameter identification. On the basis of actual plant data, ethylbenzene dehydrogenation reactor mathematical model was assumed and the procedures was run by using matlab to estimate the model parameters. The effectiveness of the identification results were verified by another set of data. The simulation results show that the identified reactor mode is of higher precision, the model is effective and suitable for industrial application.

Recommended Citation

Li, Guoyou; Gao, Ningning; and Xia, Wenhua (2020) "Application of Recursive Least Square Method in Identication of Dehydrogenation Reator," Journal of System Simulation: Vol. 28: Iss. 1, Article 34.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss1/34

First Page

249

Revised Date

2014-12-08

DOI Link

https://doi.org/

Last Page

254

CLC

TP391.9

Recommended Citation

Li Guoyou, Gao Ningning, Xia Wenhua. Application of Recursive Least Square Method in Identication of Dehydrogenation Reator[J]. Journal of System Simulation, 2016, 28(1): 249-254.