A control system of a fan drive based on airflow doppler ultrasonic control

Yadarova, O. N.; Okhotkin, G. P.; Славутский, Л. А.

doi:10.3103/s1068371217070173

Cited by 7 publications

(2 citation statements)

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“…For clarity, the moments on the motor shaft are assumed different. The M1 motor has a resistance torque on the shaft of 500 N-m, for the M2 motor the fan load [5,13] is given in the expression:…”

Section: е1 т1mentioning

confidence: 99%

Transients in the load node at power loss: group run-out of induction motors

Slavutskiy¹,

Vasilieva

Grigoriev

et al. 2019

E3S Web Conf.

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The simulation of transient processes in the complex load node with powerful induction motors at the moment of power loss is carried out. For the modeling the method of synthetic schemes (Dommel's algorithm) was used. Calculations are carried out within the dynamic model of motors in phase coordinates. The results of simulation and analysis modes of the load node with two induction motors connected to the electric buses of 10 kV and fed through a step-down transformer with 16 MVA capacity are presented. The applied model of power transformer consists of inductively coupled branches. The features of single and joint run-out of motors with different torque of mechanical loads are analyzed. Estimates of the parameters and time intervals at which the run-out of the motors is close to synchronous are obtained, the features of energy recuperation and the interaction of the motors in the load node are analyzed.

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Section: е1 т1mentioning

confidence: 99%

Transients in the load node at power loss: group run-out of induction motors

Slavutskiy¹,

Vasilieva

Grigoriev

et al. 2019

E3S Web Conf.

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“…During switching, in transient and emergency modes, not only the signal amplitude, frequency and phase change, but also nonlinear distortions occur [5][6][7][8]. Many studies have been devoted to modeling such processes [9][10][11][12][13]. Such signal changes monitoring can be carried out in real time [14][15].…”

Section: Introductionmentioning

confidence: 99%

Neural net monitoring of signals parameters during the induction motors run-out

Andreev,

Grigoriev,

Malinin

et al. 2024

Third International Conference on Optics, Computer Applications, and Materials Science (CMSD-III 2023)

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The study is devoted to the possibility of using neural network algorithms to monitor the current and voltage signals parameters during transients in electrical engineering complexes. The direct propagation neural network can be programmed in standard microprocessor equipment and allows approximating signals in real time in the "sliding time window" mode. The proposed approach is demonstrated in laboratory experiments on the asynchronous motors run-out physical model as a complex load node part. It is shown that the multilayer perceptron use makes it possible to track changes in the signals frequency and amplitude with percentage accuracy for the observation time window duration of no more than a industrial frequency quarter period. The results demonstrate the using neural networks advantages for signal processing in non-stationary modes in electrical engineering and electric power industry.

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