Black box modeling of steam distillation essential oil extraction system using ARMAX structure

Rahiman, Mohd Hezri Fazalul; Taib, Mohd Nasir; Salleh, Y.M.

doi:10.1109/icias.2007.4658547

Cited by 7 publications

(3 citation statements)

References 7 publications

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“…However, the most common and efficient process that can be used to extract the essential oils is by using steam distillation process [1]. This is because; the steam distillation process will keep and preserve the originality of the plant.…”

Section: Introductionmentioning

confidence: 99%

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Modeling induction-based steam distillation system by using nonlinear auto-regressive with exogenous input (NLARX) structure

Ismail

Ramli

Rahiman

2015

2015 IEEE 6th Control and System Graduate Research Colloquium (ICSGRC)

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This paper presents the performance of NonLinear Auto Regressive with Exogenous input (NLARX) model structure that is applied in modeling of induction based steam distillation system. The input is PseudoRandom Binary Sequence (PRBS) and the output is temperature. The input-output data was split into two equal set for model estimation and model validation. All the data are transferred to MATLAB R2013a software for analysis. Wavelet Network, Sigmoid Network, Tree partition Network and Feedforward Neural Network are the nonlinearity estimators used to build the NLARX model structure and their performances have been compared. The validation of estimated model will be based on best fit (R²), final prediction error (FPE), loss function, auto-correlation function (ACF) and cross correlation function (CCF). The result showed that NLARX with Feedforward neural network is the most suitable estimator among others due to it yields the highest percent of best fit (R²), lowest final prediction and loss function, and all the coefficients are within the confidence limit for CCF test.

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Section: Introductionmentioning

confidence: 99%

“…There are several techniques of essential oils extraction and some of them are cold pressing, solvent extraction and maceration [1]. However, the most common and efficient process that can be used to extract the essential oils is by using steam distillation process [1].…”

Section: Introductionmentioning

confidence: 99%

Modeling induction-based steam distillation system by using nonlinear auto-regressive with exogenous input (NLARX) structure

Ismail

Ramli

Rahiman

2015

2015 IEEE 6th Control and System Graduate Research Colloquium (ICSGRC)

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“…The ARMAX model structure is widely used for the modeling and control purpose not only in the process industries but in various other fields. The ARMAX model is used for steam distillation essential oil extraction system [5]. The auto-tuning procedure for PID controllers based on ARMAX model of naphtha treatment unit is discussed [6].…”

Section: Introductionmentioning

confidence: 99%

Modeling and control of a real time shell and tube heat exchanger

Radhakrishnan¹,

Sahoo²,

Chinta³

2017

REFFIT

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Process industries generate large amount of heat that needs to be transferred. Shell and tube heat exchangers are extensively used in industriesfor utilization of the heat energy generated from different processes. For definite utilization of this energy, the temperatures of the hot and coldfluids passing through the heat exchanger should be monitored and controlled efficiently. A proper model of heat exchanger is required for thepurpose of monitoring and control. The objective of the paper is to mathematically model the heat exchanger using system identification methodsand experimentally evaluate the effectiveness of two PID controller tuning methods such as Internal Model Control (IMC) and relay auto-tuningfor temperature control. The Auto Regressive–Moving-Average model with eXogenous inputs (ARMAX) model of the heat exchanger is obtainedfrom the Pseudo Random Binary Signal (PRBS) experiment performed on the heat exchanger system. The outlet temperature of the cold fluid isconsidered as the controlled variable. Based on the obtained model, PID settings are designed using the two tuning methods, and the closed loopresponses such as servo and regulatory are compared experimentally. It is seen from the experimental results that the IMC based controller showsbetter results than the relay auto tuning method in terms of time integral error (i.e., ISE and ITAE).

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Model Predictive Control using ARX model for steam distillation essential oil extraction system

Tajjudin

Ismail

Rahiman

et al. 2010

2010 International Conference on Intelligent and Advanced Systems

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Black box modeling of steam distillation essential oil extraction system using ARMAX structure

Cited by 7 publications

References 7 publications

Modeling induction-based steam distillation system by using nonlinear auto-regressive with exogenous input (NLARX) structure

Modeling induction-based steam distillation system by using nonlinear auto-regressive with exogenous input (NLARX) structure

Modeling and control of a real time shell and tube heat exchanger

Model Predictive Control using ARX model for steam distillation essential oil extraction system

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