Direct control of asynchronous motor torque with neuro-fuzzy speed regulator and neural network identification of electrical drive parameters
We considered a modified system for a direct control of induction motor torque using a neural network unit for identification of electrical drive parameters. A number of disadvantages for the standard torque control system were identified. We described neural network element synthesis, in order to m...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Kazan State Power Engineering University
2017-12-01
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| Series: | Известия высших учебных заведений: Проблемы энергетики |
| Subjects: | |
| Online Access: | https://www.energyret.ru/jour/article/view/56 |
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| Summary: | We considered a modified system for a direct control of induction motor torque using a neural network unit for identification of electrical drive parameters. A number of disadvantages for the standard torque control system were identified. We described neural network element synthesis, in order to modify the system and overcome these disadvantages. Our modeling results for the modified system with neural network and neural-fuzzy components are presented. |
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| ISSN: | 1998-9903 |