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Research on the main directions of application of neural networks in control of asynchronous electric drives

Field of Science:Computer ScienceEngineering
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ARTICLE ANNOTATION

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The article presents the results of an analysis of research on the application of neural networks in asynchronous electric drives for two components: motor speed estimation and motor control using artificial neural networks, as well as the use of artificial neural networks for the development of current regulators for controlling an asynchronous motor with field orientation, speed estimation with measurements of stator currents and voltages. The motivation for this work was to explore the possibility of using an artificial neural network in the field of control and regulation of asynchronous electric drives without the use of sensors. The construction of a magnetic flux observer based on a neural network logical framework involves the synthesis and optimization of its structure: the selection of the number of layers, the number of neurons, activation functions, etc., which together determine the properties acquired by the neural network during the learning process. Thus, the need arises to develop methods for tuning these parameters when solving this problem.

AUTHORS

Б.Тожиев

TOSHKENT TO'QIMACHILIK VA YENGIL SANOAT INSTITUTI

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# asynchronous electric drive# artificial neural network# motor speed estimation# motor control# field-oriented control# magnetic flux observer# neural network logic basis# sensorless control

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