DocumentCode :
2550095
Title :
Model Predictive Control using ARX model for steam distillation essential oil extraction system
Author :
Tajjudin, Nazurah ; Ismail, Nurlaila ; Rahiman, M. H Fazalul ; Taib, Mohd Nasir
Author_Institution :
Fac. of Electr. Eng., Univ. Teknol. Mara, Shah Alam, Malaysia
fYear :
2010
fDate :
15-17 June 2010
Firstpage :
1
Lastpage :
5
Abstract :
This paper presents the development and implementation of an ARX (Auto-Regressive eXogenous) model for Model Predictive Control (MPC) in steam distillation extraction system. The mathematical model was developed using the system identification technique. The MPC is proposed as a controller in a way to regulate the system to maintain the optimum operation temperature besides minimizing the energy that is used to power up the plant. Tuning of the MPC was examined with several values of prediction horizon with the similar default parameter to achieve the optimal setting for the better controller´s performance. The performance of MPC was evaluated at optimal temperature setting. Simulation result indicates that MPC is able to control the steam temperature in more efficient way using a first order ARX model.
Keywords :
autoregressive processes; distillation; predictive control; steam reforming; autoregressive exogenous model; first order ARX model; model predictive control; steam distillation essential oil extraction system; Data models; Estimation; Mathematical model; Petroleum; Predictive models; Process control; System identification; ARX modeling; essential oil extraction system; heating process; model predictive control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent and Advanced Systems (ICIAS), 2010 International Conference on
Conference_Location :
Kuala Lumpur, Malaysia
Print_ISBN :
978-1-4244-6623-8
Type :
conf
DOI :
10.1109/ICIAS.2010.5716134
Filename :
5716134
Link To Document :
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