Estimation of Reactor Parameters by Optimal Filtering Method

抄録

Measurements of reactor parameters, such as prompt neutron generation time and subcriticality, have been made in the past using band pass filters or else applying the correlation technique. Other new methods of reactor parameter estimation would now appear to be available thanks to the recent developments in optimal filtering technique, such as optimal linear (Kalman) filter and some of the nonlinear optimal filters. Such new methods should prove very promising for on-line estimation of the reactor parameters.
In this paper a description is given of the application of some of these new methods to subcriticality measurements. The results of computer simulation of estimates using the Kalman filter are presented, as also on account of experiments with the actual reactor noise obtained on the Toshiba Training Reactor (TTR-1), using a nonlinear analog filter. The results agreed with those reported by Nomura using conventional methods.