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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...
This paper presents estimation on nonlinear ARX model for steam distillation process by wavenet estimator. A set of input-output data samples was collected at a sampling rate of 0.1 second from an essential oil extraction pilot plant by using steam distillation technique. PRBS input signal delivered to the heating element of the plant while the output was the steam temperature. By applying interlacing...
A controlled steam distillation process was performed to extract essential oil of Kaffir lime. Water temperature in the process was controlled by ON/OFF controller. System performance was quantified based on oil production rate and assessment on the compositions in Kaffir lime leaves and peels respectively. The Kaffir lime essential oil compounds were identified by retention time and percentage area...
This paper presents the simulation and assessment of a Model Predictive Control (MPC) for the steam distillation essential oil extraction process. The mathematical model of the plant was obtained beforehand from the system identification technique by using ARX model structure. The model is then applied to the MPC control structure as a predicted model. The objective of the controller design is to...
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