Application of Kalman Filtering Technique to Nuclear Reactors

This paper deals with the application of Kalman filter for estimating the non-measurable variables of a nuclear pool-type research reactor using noisy measurements of only a few variables. The estimated variables are used to identify two parameters of the reactor dynamics. These estimates are also useful for reactor control, protection, instrumentation, operator information, etc. The filtering technique can be applied to more complex nuclear steam systems.