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