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Steady State Extended Kalman Filter Application for a Heat Exchanger Model

Abstract

Heat exchanger is a non-linear process and to estimate the parameters, filtering techniques are used. This project deals with Counter-Flow Double pipe heat exchanger. Empirical formulae of heat transfer have been included to estimate the parameters and for modeling. PI controller is used to control and reduce the offset. The Kalman filtering approach has seen many applications such as forecasting, condition monitoring, diagnosis of fault, and process control. The state variables of heat exchanger are obtained in state space model and the states are estimated using extended Kalman filter (EKF). The algorithm of EKF is implemented in MATLAB and it will be compared with the other filtering technique. Finally, the estimated state is compared the true state update. The filters are effective in the estimating the nonlinear process.

Natarajan.J, Tamilmani.P, Issan Raj.R

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