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Physics-Based Modeling and Compensation of Magnetic Interference From Permanent-Magnet Synchronous Motors

  • Qi Xue
  • , You Li
  • , Chen Wang
  • , Zhaohai Meng
  • , Qi Han*
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • China State Shipbuilding Corporation

Research output: Contribution to journalArticlepeer-review

Abstract

Accurate magnetic field measurement is crucial for navigation and state estimation in tightly integrated unmanned systems. However, permanent magnet synchronous motors (PMSMs) introduce strong and spatially varying near-field interference that cannot be effectively compensated by conventional platform-level disturbance models. This article develops a physics-informed and parameterizable interference model that explicitly incorporates the stator current excitation field, the rotor magnetic dipole rotational field, and the gearbox-induced magnetic distortion field, while introducing a frequency-dependent shielding factor to characterize eddy-current attenuation caused by the motor housing and structural materials. To enable real-time implementation, the shielding term is approximated via a first-order Taylor expansion, yielding a linearly parameterized formulation suitable for recursive least squares (RLSs) identification without compromising physical interpretability. Experimental validation on both a fixed single-motor testbench and a quadruped robot equipped with multiple PMSMs demonstrates that the proposed method reduces interference standard deviation from 430.34 to 28.95 nT in the single-motor case and from 586.01 to 60.68 nT under multimotor coupled operation. These results demonstrate the effectiveness and practical applicability of the proposed approach under the tested conditions, providing a theoretically grounded and practically feasible solution for high-precision magnetic measurement in compact multimotor robotic platforms.

Original languageEnglish
Article number6511111
JournalIEEE Transactions on Instrumentation and Measurement
Volume75
DOIs
StatePublished - 2026

Keywords

  • Magnetic interference compensation
  • motor magnetic field modeling
  • multimotor system

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