An Online Torque Prediction Method of PMSM Using PINNs
Torque prediction is crucial for the control and safe operation of electric motors. Compared to offline methods, online identification methods can adapt to dynamic changes and individual variations in motor characteristics in real time, but they face challenges such as rank deficiency and the failur...
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| Главные авторы: | , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
IEEE
2025-01-01
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| Серии: | IEEE Access |
| Предметы: | |
| Online-ссылка: | https://ieeexplore.ieee.org/document/10994479/ |
| Метки: |
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