Abstract
An online algorithm for the estimation of state variables of a nuclear reactor is presented in this paper. In the reactor core design, distribution of average fuel temperature, coolant temperature, delayed neutron precursors’ concentration, and thermal hydraulic behavior play an important role. The associated reactivity feedback induced by the core temperature distributions further affect the control design. Therefore, the knowledge of reactor core temperature is crucial for the effective thermal power control. The proposed algorithm is based on and preserves the merits of the standard extended Kalman filtering (EKF) technique. While the application of stationary wavelet transform effectively captures the multiscale dynamics of the system. The efficacy of the proposed algorithm is demonstrated by simulation results using point kinetics model of the nuclear reactor.
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