Modeling of a distillation column based on NARMAX and Hammerstein models  

作　　者：Lakhdar Aggoune Yahya Chetouani 

机构地区：[1]Automatic Laboratory of Setif,Department of Electrical Engineering Setif 1 University,Maabouda,Street of Bejaia 19000,Setif Algeria [2]Universite de Rouen,IUT,Chemical Engineering Department Rue Lavoisier,76130 Mont-Saint-Aignan,France [3]IRSEEM,ESIGELEC,Technopole du Madrillet,Avenue Galilee 76800 Saint-Etienne-du-Rouvray,France

出　　处：《International Journal of Modeling, Simulation, and Scientific Computing》2017年第3期227-240,共14页建模、仿真和科学计算国际期刊（英文）

摘　　要：The modeling of distillation column process is a very challenging problem because of the complex dynamic behavior.This paper investigates a Nonlinear Autoregressive Moving Average with eXogenous input(NARMAX)model,and a Hammerstein model to approximate the evolution of the overhead temperature in a separation system.The model development and validation are studied through experiments carried out on a distillation plant of laboratory scale.Three model order selection criteria such as Aikeke’s Information Criterion(AIC),Root Mean Square Error(RMSE)and Nash–Sutcliffe Efficiency(NSE)are used to evaluate the prediction performance of the process behavior.The results illustrate that both models produce acceptable predictions but the NARMAX model outperforms the Hammerstein model.

关 键 词：Black-box modeling NARMAX model Hammerstein model complex systems 

分 类 号：O17[理学—数学]