Modeling and Simulation of a PINN-Based Nonlinear Motor Drive System
To address the insufficient accuracy of conventional permanent magnet synchronous motor (PMSM) models caused by neglecting magnetic saturation nonlinearity and periodic parameter disturbances, a nonlinear motor system model integrating a Physics-Informed Neural Network (PINN) is developed. By exploi...
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| Autores principales: | , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI AG
2026-04-01
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| Colección: | Applied Sciences |
| Materias: | |
| Acceso en línea: | https://www.mdpi.com/2076-3417/16/7/3426 |
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