An adaptive feedforward controller for permanent magnet synchronous motor based on physics-guided neural network model
Transactions of the Institute of Measurement and Control
Published online on December 02, 2025
Abstract
Transactions of the Institute of Measurement and Control, Ahead of Print.
In order to improve the servo accuracy and dynamic performance of permanent magnet synchronous motors (PMSM), a physics-guided neural network (PGNN) model is proposed, which can be used to establish a dynamic inverse model of PMSM-based servo systems. ...
In order to improve the servo accuracy and dynamic performance of permanent magnet synchronous motors (PMSM), a physics-guided neural network (PGNN) model is proposed, which can be used to establish a dynamic inverse model of PMSM-based servo systems. ...