The mathematical model of an induction machine in terms of the skin effect in the rotor and the saturation of magnetic circuits

Syvokobylenko, V. F.; Ткаченко, С. Н.

doi:10.1109/icepds.2018.8571608

Cited by 3 publications

(2 citation statements)

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“…In this paper, neural network algorithms are used to control non-stationary currents and voltages signals during group asynchronous motors run-out powered through a transformer [19][20][21][22]. Under these conditions, a features number associated with the mutual influence of motors due to the electrical energy recovery are manifested [9,21,23]. The need for such control is most often associated with high overloads that may occur during the motors subsequent self-start [24][25][26][27].…”

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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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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“…requieren un control de velocidad y posición para un óptimo funcionamiento [2]. Es por esto, que cada vez se busca implementar mejores técnicas para el control de máquinas de inducción (IM), que sean robustas, eficientes, simples y económicas [3], [4].…”

Section: Introductionunclassified

Field-Oriented Control with a Predictive Current Strategy of an Induction Machine Fed by a Two-Level Voltage Source Inverter

Rivera

Riveros

Rodriguez

et al. 2021

2021 IEEE International Conference on Automation/Xxiv Congress of the Chilean Association of Automatic Control (ICA-ACCA)

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Industrial Motor Drives require often required optimal speed and torque control. This work presents the implementation of a eld-oriented control (FOC) with a predictive current control strategy for an induction machine fed by a voltage source inverter. The FOC generates the stator current references for the predictive current controller, which selects the optimal switching state to be applied in the next sample period. The results from a Matlab/Simulink simulation validates the good dynamic performance of the proposed technique, making it a suitable strategy for induction machine control with two-level inverters.

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