Nonlinear system identification: Comparison between PRBS and Random Gaussian perturbation on steam distillation pilot plant

Author

Md Shariff, Haslizamri ; Fazalul Rahiman, Mohd Hezri ; Tajjudin, Mazidah

Author_Institution

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

fYear

2013

fDate

19-20 Aug. 2013

Firstpage

269

Lastpage

274

Abstract

This paper is proposed to model the steam temperature on steam distillation pilot plant using system identification. Random Gaussian Signal (RGS) and Pseudo Random Binary Sequence (PRBS) have been implemented to this system to perturb the input of the process. The objective of using different perturbation signal is to study their capability to excite the nonlinearity behavior of system dynamic. The linear and nonlinear Auto Regressive with Exogenous Input (ARX) model structures is used to estimate and validate the temperature output model 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.

Keywords

Gaussian processes; autoregressive processes; chemical industry; distillation equipment; nonlinear control systems; temperature control; ACF; CCF; PRBS; RGS; auto regressive with exogenous input model; auto-correlation function; cross-correlation function; linear ARX model; model fit; nonlinear ARX model; nonlinear system identification; perturbation signal; pseudo random binary sequence; random Gaussian signal; steam distillation pilot plant; steam temperature; validation test; Correlation; Data models; Mathematical model; Nonlinear dynamical systems; System identification; Temperature measurement; Linear Auto Regressive With Exogenous Input (ARX); Nonlinear Auto Regressive With Exogenous Input (NARX); Pseudo Random Binary Sequence (PRBS); Random Gaussian Signal (RGS); auto-correlation function (ACF); cross-correlation function (CCF);

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.2013.6650183

Filename

6650183