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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.