Abstract

The pressurized water reactor is describes in this article, the example of which demonstrates the possibility of identifying the parameters of a complex dynamic control object using by the modified algorithm, well-proven in the study of input variables such as pressure, steam balance, the distance to the lattice, mass velocities and one output variable, such as heat flux. This paper presents the relation- ship between the input and output variables such as the mass velocity at the reactor inlet and the heat flux at the reactor outlet. The modified algorithm is compared with the Chadaev-Ilyushin algorithm, since the algorithm for identification of the dynamic control object developed by them allowed to calculate the values of the multiple correlation coefficient and standard deviation with high accuracy. The article shows that the modified algorithm for identification of a dynamic control object allows to filter out the lines with poor parameter estimates and calculate the multiple correlation coefficient and mean square deviation even more accurately than the Chadaev-Ilyushin algorithm allowed to do.

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