A study of nonlinearity behavior in system dynamic for steam distillation essential oil extraction system

Author

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

Author_Institution

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

fYear

2014

fDate

11-12 Aug. 2014

Firstpage

176

Lastpage

180

Abstract

This paper presents black box modeling of steam temperature using system identification technique. The steam distillation essential oil extraction system is used to study which level of steam temperature exhibit high nonlinearity characteristic in their dynamic behavior. The model developed based on empirical data perturbed by Random Gaussian Signal (RGS). The linear and nonlinear Auto Regressive with Exogenous input (ARX) models structures are applied and validated using - model fit (%R²), Root Mean Square Error (RMSE) and correlation tests.

Keywords

autoregressive processes; distillation; essential oils; mean square error methods; RMSE; correlation tests; essential oil extraction system; linear autoregressive method; nonlinear autoregressive with exogenous input; random Gaussian signal; root mean square error method; steam distillation; steam temperature; system identification technique; Correlation; Data models; Mathematical model; Nonlinear systems; System identification; Temperature distribution; Temperature measurement; Auto-Correlation Function(ACF); Cross-Correlation Function (CCF); Nonlinear Auto Regressive with Exogenous input (NARX); Random Gaussian Signal (RGS); Root Mean Square Error (RMSE); linear Auto Regressive with Exogenous input (ARX);

fLanguage

English

Publisher

ieee

Conference_Titel

Control and System Graduate Research Colloquium (ICSGRC), 2014 IEEE 5th

Conference_Location

Shah Alam

Print_ISBN

978-1-4799-5691-3

Type

conf

DOI

10.1109/ICSGRC.2014.6908717

Filename

6908717