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...
| Published in: | Applied Sciences |
|---|---|
| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2026-04-01
|
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/16/7/3426 |
