System identification for steam distillation pilot plant: Comparison between linear and nonlinear models

Author

Md Shariff, Haslizamri ; Marzaki, Mohd Hezri ; Tajjudin, Mazidah ; Rahiman, M.H.F.

Author_Institution

Fac. of Electr. Eng., Univ. Teknol., Shah Alam, Malaysia

fYear

2013

fDate

19-20 Aug. 2013

Firstpage

263

Lastpage

268

Abstract

This paper is proposed to model the steam temperature in steam distillation pilot plant using system identification. Random Gaussian Signal (RGS) has been implemented to this system to perturb the input of the system. The linear and nonlinear Auto Regressive with Exogenous input (ARX) models structure is used to estimate and validate the model output of steam distillation pilot plant. Both models will be compared to study the performance and flexibility. The validation test is performed by using auto-correlation function (ACF), cross-correlation function (CCF) and model fit to validate the estimated both ARX models.

Keywords

Gaussian distribution; autoregressive processes; distillation equipment; nonlinear control systems; ACF; ARX model structure; CCF; auto regressive with exogenous input; autocorrelation function; cross-correlation function; nonlinear models; random Gaussian signal; steam distillation pilot plant; steam temperature; system identification; Correlation; Data models; Estimation; Mathematical model; Nonlinear systems; System identification; Temperature measurement; Gaussian Random Signal (RGS); auto-correlation function (ACF); cross-correlation function (CCF); linear auto regressive with exogenous input (ARX); nonlinear auto regressive with exogenous input (NARX);

fLanguage

English

Publisher

ieee

Conference_Titel

System Engineering and Technology (ICSET), 2013 IEEE 3rd International Conference on

Conference_Location

Shah Alam

Print_ISBN

978-1-4799-1028-1

Type

conf

DOI

10.1109/ICSEngT.2013.6650182

Filename

6650182