Online Inductance Identification Method for Doubly Salient Electromagnetic Machine Using Decoupled Inductive Sensing

Inductance parameters are crucial for position-sensorless control of doubly salient electromagnetic machine (DSEM) at low-speed operation. However, the inherent temporal coupling between inductance detection and current control will limit the phase current injection interval, consequently degrading the torque capability. This paper proposes an online inductance identification method for DSEM based on decoupled inductive sensing. Firstly, the connection configuration of sensing winding is elaborated, followed by theoretical analysis of inductance characteristics. The voltage expression of sensing winding is derived through electromagnetic field modeling, and a finite element model (FEM) is established. Subsequently, the detection principle and system configuration employing decoupled inductive sensing are presented, achieving real-time inductance identification. Finally, comprehensive validation through finite element analysis and system simulation confirms the correctness and effectiveness of the proposed method.

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Publication Details

Published
2025-08-15
DOI
https://doi.org/10.1109/sled63792.2025.11154676
Primary Topic
Ethnobotanical and Medicinal Plants Studies
Type
article
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article

Online Inductance Identification Method for Doubly Salient Electromagnetic Machine Using Decoupled Inductive Sensing

Ethnobotanical and Medicinal Plants Studies
article

Online Inductance Identification Method for Doubly Salient Electromagnetic Machine Using Decoupled Inductive Sensing

article en

Abstract

Inductance parameters are crucial for position-sensorless control of doubly salient electromagnetic machine (DSEM) at low-speed operation. However, the inherent temporal coupling between inductance detection and current control will limit the phase current injection interval, consequently degrading the torque capability. This paper proposes an online inductance identification method for DSEM based on decoupled inductive sensing. Firstly, the connection configuration of sensing winding is elaborated, followed by theoretical analysis of inductance characteristics. The voltage expression of sensing winding is derived through electromagnetic field modeling, and a finite element model (FEM) is established. Subsequently, the detection principle and system configuration employing decoupled inductive sensing are presented, achieving real-time inductance identification. Finally, comprehensive validation through finite element analysis and system simulation confirms the correctness and effectiveness of the proposed method.

Nanjing University of Aeronautics and Astronautics (CN)
Openalex Percentile: Top 33%
Ethnobotanical and Medicinal Plants Studies
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Online Inductance Identification Method for Doubly Salient Electromagnetic Machine Using Decoupled Inductive Sensing · (2025) | TGRS Research Map | TGRS