Identification of the Parameters of a Three-Phase Asynchronous Motor for Intelligent Monitoring Systems-Reference-Cited by-同舟云学术

Identification of the Parameters of a Three-Phase Asynchronous Motor for Intelligent Monitoring Systems

Published:2022-04-01 Issue:2 Volume:59 Page:23-36
ISSN:2255-8896
Container-title:Latvian Journal of Physics and Technical Sciences
language:en
Short-container-title:

Author:

Makarov V.¹,Zagirova V.¹,Vagapov G.²,Grackova L.³

Affiliation:

1. Department of Electric Motors and Electrotechnics , Kazan National Research Technological University , 68 Karl Marx Str., Kazan, 420015, Russia

2. Department of Methods of Increase of Power Supply Reliability and Power Quality in Distributive Electrical Grids , Kazan State Power Engineering University , 51 Krasnoselskaya Str., Kazan, 420066, Russia

3. Laboratory of Energy System Analysis and Optimisation , Institute of Physical Energetics , 14 Dzerbenes Str., Riga, LV-1006 , Latvia

Abstract

Abstract The study presents an algorithm and a mathematical model for evaluating the parameters of the equivalent circuit of an asynchronous electric motor for intelligent monitoring systems. To identify the parameters of electric motors, a gradient descent method is used to find the minimum of a positive function. The algorithm and mathematical model were tested not only theoretically, but also in laboratory experiments. The results obtained proved that the proposed algorithm was an efficient and accurate method for estimating parameters. Computer modelling and experimental research confirmed the possibility of using the algorithm and the device for identifying parameters in the construction of control systems for a variable frequency drive with three-phase asynchronous electric motors in practice.

Publisher

Walter de Gruyter GmbH

Subject

Psychiatry and Mental health,Neuropsychology and Physiological Psychology

Link

https://www.sciendo.com/pdf/10.2478/lpts-2022-0009

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