scholarly journals Computational methods based on fuzzy control algorithms for operational control and identification of control systems in smart production

2021 ◽  
Vol 2094 (4) ◽  
pp. 042049
Author(s):  
A L Zolkin ◽  
A N Losev ◽  
S N Sychanina ◽  
T E Melnik ◽  
O S Buryakova
Keyword(s):  
Fuzzy Control ◽  
Computational Methods ◽  
Production Management ◽  
Predictive Analytics ◽  
Complex Method ◽  
Operational Control ◽  
Structural Redundancy ◽  
Climate Control ◽  
Industrial Unit ◽  
Complex Technical Systems

Abstract 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.

scholarly journals Supporting the life cycle of complex technical systems on the basis of intelligent technologies and predictive analytics

2019 ◽  
pp. 314-323
Author(s):  
V N Blinov ◽  
S S Valeev ◽  
N V Kondratyeva ◽  
R R Karimov ◽  
A S Kovtunenko ◽  
...  
Keyword(s):  
Life Cycle ◽  
Predictive Model ◽  
Predictive Analytics ◽  
Propulsion System ◽  
Information Support ◽  
Neural Network System ◽  
Design Production ◽  
Complex Technical Systems ◽  
Technical Systems ◽  
Production And Operation

The application of predictive analytics in the design, production and operation to achieve the efficiency of the life cycle of complex technical systems is discussed. A predictive model of information support for the life cycle of a microsatellite propulsion system based on a neural network system is proposed. The predictive model can solve the problem of estimating fuel consumption, diagnosing and detecting possible failures of a small propulsion system.

scholarly journals The innovative technologists and formation of the technical operation system of civil aircraft avionics

2021 ◽  
Vol 341 ◽  
pp. 00049
Author(s):  
Sergey Kuznetsov
Keyword(s):  
Simulation Modeling ◽  
Operational Control ◽  
Operation System ◽  
Main Research ◽  
Civil Aircraft ◽  
Complex Technical Systems ◽  
Technical Systems ◽  
Technical Operation ◽  
Intended Use

The system of technical operation (TO) of on-board equipment or avionics of aircraft (AC) as an object of research is a set of objects and means of technical operation, maintenance and repair programs, as well as personnel performing procedures and organizing the processes of TO. The quality of the TO system is manifested in the TO process - a set of processes of intended use, operational control, maintenance, restoration and repair. The TO process, as a process of changing the TO states, can be considered as a controlled random process, determined on the set of operation states by probabilistic characteristics. The quality of the TO system is characterized by a set of properties that determine its ability to satisfy with the maximum economic efficiency the needs of the TO system of the aircraft, while ensuring the required levels of reliability and readiness of the avionics for operation. That is, the TO system has all the features inherent in complex technical systems - a hierarchical ramified structure, subordination of goals and restrictions, wide interrelationships in the process of functioning. The main research apparatus in solving problems of optimization of processes and synthesis of TO systems is the apparatus of the theory of mathematical modeling of complex technical systems, based on a system approach, the integration of analytical and simulation modeling. The article solves the problem of determining the values of the parameters of the TO system such that the costs of the system during the TO process reach a minimum when all the required tasks are completed and all restrictions on the system’s own parameters and indicators of its technical efficiency are met.

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