Heat exchanger is a chemical process with dynamic characteristics. Due to internal and external disturbances, it is very difficult to provide stringent control action for dynamic process. If the state variable of the process is free from noise, it is easy to control the process variable. In our work, the key controlled variable is the cold fluid outlet temperature of the heat exchanger process. Due to physical limitations, the installation of temperature sensors in heat exchanger is not viable and moreover the signal from the sensor will he perturbed by internal and external noise. Estimating the state variables can lead to reduce the hardware components and truthfully following the process variable can make a way for better control. In this work, Kalman filter is employed to estimate the state variable as cold fluid temperature. The performance of the Kalman filter is validated by error covariance matrix.
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