Application of Deep Learning in Parameter Estimation of Permanent Magnet Synchronous Machines

Application of Deep Learning in Parameter Estimation of Permanent Magnet Synchronous Machines

This paper presents a novel method for real-time identification of four parameters of the permanent magnet synchronous machines (PMSM) namely stator resistance, d-axis inductance, q-axis inductance and the rotor flux linkage. The proposed method is based on the utilization of the deep neural network...

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Bibliographic Details
Main Authors: Minh Xuan Bui, Rukmi Dutta, Faz Rahman
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Online parameter identification
PMSM
deep learning
neural network
recursive least square
extend Kalman filter
Online Access:https://ieeexplore.ieee.org/document/10472511/

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