Open AccessConcept of instrumentation of digital twins of nuclear power plants units as observers for digital NPP I&C system
Author(s) -
V. S. Volodin,
A. O. Tolokonskii
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1391/1/012083
Subject(s) - nuclear power , relevance (law) , digital control , instrumentation (computer programming) , nuclear power plant , computer science , fuzzy logic , state (computer science) , control (management) , control engineering , power (physics) , reliability engineering , artificial intelligence , engineering , electrical engineering , algorithm , operating system , ecology , physics , quantum mechanics , political science , nuclear physics , law , biology
The relevance of the idea under consideration lies in the development of the use of digital twins of power units in the nuclear industry. With their help, we can not only predict the state of technological equipment, etc., but also solve the problem of parameter tuning of automatic regulators in different operating modes of NPP unit. Authors consider approaches to this problem based on optimal control theory, fuzzy logic and machine learning. Advantages and disadvantages of each approach are considered.