Model of asynchronous motor taking into account its magnetic system saturation on basis of Takagi–Sugeno method

At present asynchronous motors are controlled by means of microprocessors. Modern microprocessor equipment makes it possible to implement any algorithm of electric drive functioning. This is why the paper examines a model of a short-circuited asynchronous motor taking into account nonlinearity o...

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Main Author: N. M. Zaytseva
Format: Article
Language:English
Published: Omsk State Technical University, Federal State Autonoumos Educational Institution of Higher Education 2018-07-01
Series:Омский научный вестник
Subjects:
Online Access:https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2018/3%20(159)/52-58%20%D0%97%D0%B0%D0%B9%D1%86%D0%B5%D0%B2%D0%B0%20%D0%9D.%20%D0%9C..pdf
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author N. M. Zaytseva
author_facet N. M. Zaytseva
author_sort N. M. Zaytseva
collection DOAJ
description At present asynchronous motors are controlled by means of microprocessors. Modern microprocessor equipment makes it possible to implement any algorithm of electric drive functioning. This is why the paper examines a model of a short-circuited asynchronous motor taking into account nonlinearity of its magnetization parameter. The algorithm implementing saturation of the engine magnetic system is developed with help of TakagiSugeno fuzzy inference. The work describes the suggested membership functions to the intervals of the magnetization vector module and patterns of the functions describing a magnetization curve for each interval. Modeling is done using a MATLAB Simulink system. The paper offers a graphical interpretation of time-superimposed models of a short-circuited asynchronous motor taking into account saturation of asynchronous motor magnetic system realized by means of a sextic polynomial and Takagi-Sugeno fuzzy logic. The algorithms used to describe the saturation are realized using C programming language. The obtained new scientific result can be used in programming microprocessors controlling asynchronous electric drives due to simplicity of its implementation. It is shown that energy-efficient control of modern asynchronous drives must be based on a more adequate model taking into account saturation of the engine magnetic system, which can be done using Takagi-Sugeno fuzzy inference.
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language English
publishDate 2018-07-01
publisher Omsk State Technical University, Federal State Autonoumos Educational Institution of Higher Education
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spelling doaj-art-c86d0b6e4718423db4a6a9830efd27f22025-02-02T04:01:27ZengOmsk State Technical University, Federal State Autonoumos Educational Institution of Higher EducationОмский научный вестник1813-82252541-75412018-07-013 (159)525810.25206/1813-8225-2018-159-52-58Model of asynchronous motor taking into account its magnetic system saturation on basis of Takagi–Sugeno methodN. M. Zaytseva0Innovative Eurasian UniversityAt present asynchronous motors are controlled by means of microprocessors. Modern microprocessor equipment makes it possible to implement any algorithm of electric drive functioning. This is why the paper examines a model of a short-circuited asynchronous motor taking into account nonlinearity of its magnetization parameter. The algorithm implementing saturation of the engine magnetic system is developed with help of TakagiSugeno fuzzy inference. The work describes the suggested membership functions to the intervals of the magnetization vector module and patterns of the functions describing a magnetization curve for each interval. Modeling is done using a MATLAB Simulink system. The paper offers a graphical interpretation of time-superimposed models of a short-circuited asynchronous motor taking into account saturation of asynchronous motor magnetic system realized by means of a sextic polynomial and Takagi-Sugeno fuzzy logic. The algorithms used to describe the saturation are realized using C programming language. The obtained new scientific result can be used in programming microprocessors controlling asynchronous electric drives due to simplicity of its implementation. It is shown that energy-efficient control of modern asynchronous drives must be based on a more adequate model taking into account saturation of the engine magnetic system, which can be done using Takagi-Sugeno fuzzy inference.https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2018/3%20(159)/52-58%20%D0%97%D0%B0%D0%B9%D1%86%D0%B5%D0%B2%D0%B0%20%D0%9D.%20%D0%9C..pdfmodelasynchronous motormagnetic system saturationmembership functionfuzzy logicfuzzy inference
spellingShingle N. M. Zaytseva
Model of asynchronous motor taking into account its magnetic system saturation on basis of Takagi–Sugeno method
Омский научный вестник
model
asynchronous motor
magnetic system saturation
membership function
fuzzy logic
fuzzy inference
title Model of asynchronous motor taking into account its magnetic system saturation on basis of Takagi–Sugeno method
title_full Model of asynchronous motor taking into account its magnetic system saturation on basis of Takagi–Sugeno method
title_fullStr Model of asynchronous motor taking into account its magnetic system saturation on basis of Takagi–Sugeno method
title_full_unstemmed Model of asynchronous motor taking into account its magnetic system saturation on basis of Takagi–Sugeno method
title_short Model of asynchronous motor taking into account its magnetic system saturation on basis of Takagi–Sugeno method
title_sort model of asynchronous motor taking into account its magnetic system saturation on basis of takagi sugeno method
topic model
asynchronous motor
magnetic system saturation
membership function
fuzzy logic
fuzzy inference
url https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2018/3%20(159)/52-58%20%D0%97%D0%B0%D0%B9%D1%86%D0%B5%D0%B2%D0%B0%20%D0%9D.%20%D0%9C..pdf
work_keys_str_mv AT nmzaytseva modelofasynchronousmotortakingintoaccountitsmagneticsystemsaturationonbasisoftakagisugenomethod