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: | |
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| Format: | Article |
| Language: | English |
| Published: |
Omsk State Technical University, Federal State Autonoumos Educational Institution of Higher Education
2018-07-01
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| 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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| Summary: | 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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| ISSN: | 1813-8225 2541-7541 |