A Two-layer Semi Empirical Model of Nonlinear Bending of the Cantilevered Beam

Zulkarnay, Ildar; Kaverzneva, T. T.; Tarkhov, Dmitriy; Tereshin, Valery A.; Vinokhodov, T. V.; Kapitsin, Daniel R.

doi:10.1088/1742-6596/1044/1/012005

Cited by 7 publications

(4 citation statements)

References 8 publications

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“…We apply our modification of the Euler method [4] to construct an approximate solution to the problem (8)-(9) [5][6][7][8][9]. For this purpose, we use the recurrence formula:…”

Section: Euler Methodsmentioning

confidence: 99%

Multilayer method for solving a problem of metals rupture under creep conditions

et al. 2019

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The paper deals with a parameter identification problem for creep and fracture model. The system of ordinary differential equations of kinetic creep theory is applied for describing this model. As for solving the parameter identification problem, we proposed to use the technique of neural network modeling, as well as the multilayer approach. The procedures of neural network modeling and multilayer approximation constructing application is demonstrated by the example of finding parameters for uniaxial tension model for isotropic steel 45 specimens at creep conditions. The solution corresponding to the obtained parameters agrees well with theoretical strain-damage characteristics, experimental data, and results of other authors.

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“…We apply our modification of the Euler method [4] to construct an approximate solution to the problem (8)-(9) [5][6][7][8][9]. For this purpose, we use the recurrence formula:…”

Section: Euler Methodsmentioning

confidence: 99%

Multilayer method for solving a problem of metals rupture under creep conditions

et al. 2019

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“…For a DG plant working in cyber-physical PSS, we consider a synchronous generator of relatively low power, the rotor of which is driven by a thermal, hydraulic or gas turbine. The DG plant under consideration (Figure 1), for which the DT building method is described, also includes a thyristor exciter, automatic voltage regulator (AVR), and automatic speed regulator (ASR), in which proportional-integral-differential (PID) laws are implemented [38]. In addition, there is a fuzzy controller that corrects the AVR and ASR tuning coefficients when there is a significant change in the DG plant operating mode.…”

Section: Description Of the Dg Plant Working In Cyber-physical Pssmentioning

confidence: 99%

“…The following evolutionary algorithms are also used in building a digital twin in the form of neural network models [37,38]: The application of neural networks when combined with fuzzy inference systems allows one to increase control efficiency [33], improve forecasting results [34], diagnose faults in industrial facilities [35], increase accuracy and speed of convergence when training neural networks [36], and much more.…”

Section: Introductionmentioning

confidence: 99%

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Digital Twin Formation Method for Distributed Generation Plants of Cyber–Physical Power Supply Systems

et al. 2022

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The purpose of the study presented in the article was to develop a method for the formation of digital twins for distributed generation plants operating as part of cyber–physical power supply systems. A method of forming a digital twin for a system for automatic regulation of the voltage and rotor speed of a synchronous generator is considered. The structure of a digital twin is presented in the form of a multiply connected model using experimental data. The possibility of using a fuzzy inference system, artificial neural networks, and a genetic algorithm for solving the problem is shown. As a result of the research, neuro-fuzzy models of the elements of the distributed generation plant were obtained, which are an integral part of the digital twin. Based on the simulation results, the following conclusions were drawn: the proposed method for constructing an optimized fuzzy model gives acceptable results when compared with experimental data and shows practical applicability in constructing a digital twin. In the future, in order to simplify the model, it is necessary to solve the problem of optimizing the number of rules in the fuzzy inference system. It is also advisable to direct further research to the formation of a complete hierarchical fuzzy system that connects all elements of the digital twin.

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