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Adaptive state estimation for the Clinch River Breeder Reactor Plant

Thesis/Dissertation ·
OSTI ID:5237964
This dissertation presents a study on a state estimator for a liquid metal fast breeder reactor specifically for the reactor to be used in the Clinch River Breeder Reactor Plant. The state estimator, which is a steady-state Kalman Filter, adapts to the non-linear behavior of the reactor over the operating range of 40% to 100% reactor power. A low order of nonlinear reactor model is used which is an acceptable approximation of a large complex model. Both models are used at the Westinghouse Advanced Reactors Division. The low order model is further approximated by linear systems at various operating points and the Kalman Filter is then designed. The sensitivity of the Filter to variations in the Kalman gain and noise variances at the various operating points has been investigated. This leads to the adaptive filter program and the final design of the adaptive state estimator. In the simulation studies the performance of the adaptive filter has been measured during programmed reactor power ramps over the operating range. The sensitivity of the adaptive filter to variations of several reactor parameters has been considered. Finally, the effect on the Clinch River Breeder Reactor Control System with the Filter in the feedback loop has also been studied.
Research Organization:
Pittsburgh Univ., PA (USA)
OSTI ID:
5237964
Country of Publication:
United States
Language:
English