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

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...

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Bibliographic Details
Published in:	2014 IEEE 5th Control and System Graduate Research Colloquium pp. 176 - 180
Main Authors:	Md Shariff, Haslizamri, Marzaki, Mohd Hezri, Rahiman, Mohd Hezri Fazalul
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-08-2014
Subjects:	Auto-Correlation Function(ACF) Correlation Cross-Correlation Function (CCF) Data models linear Auto Regressive with Exogenous input (ARX) Mathematical model Nonlinear Auto Regressive with Exogenous input (NARX) Nonlinear systems Random Gaussian Signal (RGS) Root Mean Square Error (RMSE) System identification Temperature distribution Temperature measurement
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Summary:	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 (%R 2 ), Root Mean Square Error (RMSE) and correlation tests.
DOI:	10.1109/ICSGRC.2014.6908717