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Implementation of a Kalman-Bucy Filter for Estimating Product Concentration of a CSTR Process

Journal: International Research Journal of Advanced Engineering and Science (IRJAES) (Vol.3, No. 1)

Publication Date:

Authors : ;

Page : 97-100

Keywords : Computer programme; CSTR; Embedded block function; Kalman-Bucy filter; Matlab/Simulink; Product concentration.;

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Abstract

This paper has presented the implementation of a KalmanBucy filter for estimating product concentration of a continuous stirred tank reactor (CSTR). An ideal operation was assumed such that the chemical reaction taking place in the system was considered a linear continuous time process. A transfer function model for the product concentration considering reactor mass balance is obtained. It is required to estimate and track the product concentration using measurement noise. A Kalman-Bucy filter was developed and implemented in Matlab/Simulink environment. A computer programme using Matlab code for the Kalman-Bucy filter implemented in Matlab/Simulink embedded block function was used for the simulation in this paper. The results obtained showed that the performance of the filter in rejecting the noise and estimating a signal that accurately tracks the input improved as the value of the noise variance was tuned within the range of 0.0001 to 0.1.

Last modified: 2018-04-16 20:51:47