Nonlinear Autoregressive With Exogenous Input Model Based Control Strategy For Batch Esterification Reactor
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Date
2009-07
Authors
Zulkeflee, Siti Asyura
Journal Title
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Volume Title
Publisher
Universiti Sains Malaysia
Abstract
Batch esterification reactors are frequently used in the food and pharmaceutical industries. In general, batch esterification is a complex process since the system involves a nonlinear dynamic behavior due to its kinetic characteristics and unsteady state process. Due to these reasons, the modeling and control of the batch esterification reactor is difficult and the application of advanced control strategies often lead to a better control performance. Among all the advanced control strategies, model-based control techniques have been largely extended and have gained prominence during the past decades. In this work, a Nonlinear AutoRegressive with eXogenous inputs-Model Based Control (NARX-MBC) strategy was developed to control the reactor temperature of the batch esterification reactor. The development of the NARX-MBC strategy is divided into three important sections i.e. process, internal model, and controller.
The batch esterification process was represented by the first principle model which involved kinetic, mass and energy balance equations. The results obtained from the kinetic studies indicated that the Citronellyl laurate esterification process follows an ordered bi-bi mechanism with R2=0.982. Then, the first principle model equations are solved using the 4th order Runge-Kutta method which is available in the MATLAB and has been validated with experimental data with Min Squared Error (MSE) =1.2x10-2. The validated first principle model was used to study the dynamic behavior of the esterification process and it was found that the ester conversion increased with increasing reactor temperature and amount of catalyst loading.
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Keywords
Nonlinear Autoregressive With Exogenous Input Model Based Control Strategy , Batch Esterification Reactor