Open AccessComputational methods based on fuzzy control algorithms for operational control and identification of control systems in smart production
Author(s) -
A. L. Zolkin,
A N Losev,
С. Н. Сычанина,
T E Melnik,
O. S. Buryakova
Publication year - 2021
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 - 10.1088/1742-6596/2094/4/042049
Subject(s) - computer science , redundancy (engineering) , fuzzy logic , fuzzy control system , control engineering , nonlinear system , control system , algorithm , control (management) , data mining , control theory (sociology) , engineering , artificial intelligence , physics , electrical engineering , quantum mechanics , operating system
The problem of the functioning of complex technical systems is studied in this article. The authors consider the problem of structural and functional redundancy (the complexity of formalizing computational methods for dynamic and nonlinear systems used in modern industrial production). On the example of considering the structure of the climate control subsystem for a closed loop of an industrial unit, a fuzzy configurator model for controlling the operation of a refrigerator is formalized. It is reduced to: linearization of the reading of instantaneous temperatures from various loops of the considered control system, followed by fuzzification and antecedent analysis. Eventually this allows to implement a complex method of fuzzy control and calculation of structural redundancy in any configuration with a different probability ratio. The authors also raise the question of the comparability of the obtained data and application of the developed method as a tool for predictive analytics in technological processes of production management.