Synthesis of neuroregulator of power in system of sensorless traction electric drive
In this paper we solve the problem of synthesizing a power regulator in a traction electric drive system using artificial neural networks. To control the vehicle and obtain the desired quality of transients, neural network observers have been developed that allow the measurement of indirect par...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Omsk State Technical University, Federal State Autonoumos Educational Institution of Higher Education
2021-04-01
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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/2021/%E2%84%96%202%20(176)%20(%D0%9E%D0%9D%D0%92)/31-35%20%D0%90%D0%BD%D0%BE%D1%81%D0%BE%D0%B2%20%D0%92.%20%D0%9D.,%20%D0%9A%D0%B0%D0%B2%D0%B5%D1%88%D0%BD%D0%B8%D0%BA%D0%BE%D0%B2%20%D0%92.%20%D0%9C.,%20%D0%A1%D0%B0%D0%B8%D0%B4%D0%BE%D0%B2%20%D0%A1.%20%D0%90..pdf |
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| Summary: | In this paper we solve the problem of synthesizing a power
regulator in a traction electric drive system using artificial
neural networks.
To control the vehicle and obtain the desired quality of
transients, neural network observers have been developed
that allow the measurement of indirect parameters to
determine the immutable coordinates of the system. For this
purpose, this paper uses dynamic neural networks. When
developing the neural network observer, experimental
data obtained by the authors on an operating vehicle in
real operating conditions are used.
To test the effectiveness of using the created artificial
neural network, an object is simulated with a random nature
of the supply voltage change. A comparative analysis of
transients in a system with a power neuroregulator and
classical regulators in a subordinate control system shows
a fairly high convergence of the results. |
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| ISSN: | 1813-8225 2541-7541 |