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Purpose <p>Levitation control in maglev systems is a high-precision position servo process, where the accuracy of position measurement directly affects levitation performance and the train’s vibration behavior. To improve the estimation of the absolute position and orientation of the maglev mover, this paper proposes an Inertial Reconstruction Method (IRM) based on inertial sensors, and explores its potential applications in maglev levitation control for vibration reduction.</p> Methods <p>The method fuses multisource information from an inertial measurement unit (IMU) and airgap sensor, in combination with a Kalman-Luenberger observer, to reconstruct the mover’s absolute position and orientation in the inertial space in real time. To apply the reconstructed position and orientation to levitation control and evaluate its effectiveness, a coupled vehicle-guideway-magnet dynamic model is developed based on multibody dynamics theory. This model contains guideway displacement estimation and geometric irregularity simulation. The application effect of the proposed method is then compared with that of the conventional airgap feedback control method (CCM).</p> Results and Conclusion <p>Experimental results demonstrate that the proposed method provides accurate estimation of the mover's absolute position, with reconstruction errors below 0.1&#xa0;mm in the 2–10&#xa0;Hz guideway vibration frequency range. When applied to levitation control for vibration reduction, the proposed method results in satisfactory ride comfort, superior vibration reduction and energy-saving effects compared to the CCM. Therefore, the IRM application has considerable practical value and promising prospects.</p>

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Absolute Position and Orientation Reconstruction Method of the Mover Based on Inertial Sensor for Maglev Applications

  • 期刊论文

  • 发表日期：

    2025年11月17日

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  • Yi Xu,
  • Zhongshu Shao,
  • Zaimin Zhong,
  • Yeqin Wang,
  • Xian Wu

摘要

Purpose

Levitation control in maglev systems is a high-precision position servo process, where the accuracy of position measurement directly affects levitation performance and the train’s vibration behavior. To improve the estimation of the absolute position and orientation of the maglev mover, this paper proposes an Inertial Reconstruction Method (IRM) based on inertial sensors, and explores its potential applications in maglev levitation control for vibration reduction.

Methods

The method fuses multisource information from an inertial measurement unit (IMU) and airgap sensor, in combination with a Kalman-Luenberger observer, to reconstruct the mover’s absolute position and orientation in the inertial space in real time. To apply the reconstructed position and orientation to levitation control and evaluate its effectiveness, a coupled vehicle-guideway-magnet dynamic model is developed based on multibody dynamics theory. This model contains guideway displacement estimation and geometric irregularity simulation. The application effect of the proposed method is then compared with that of the conventional airgap feedback control method (CCM).

Results and Conclusion

Experimental results demonstrate that the proposed method provides accurate estimation of the mover's absolute position, with reconstruction errors below 0.1 mm in the 2–10 Hz guideway vibration frequency range. When applied to levitation control for vibration reduction, the proposed method results in satisfactory ride comfort, superior vibration reduction and energy-saving effects compared to the CCM. Therefore, the IRM application has considerable practical value and promising prospects.