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<p>The conventional conductor galloping detection systems utilize mechanical inertial sensors to monitor the motion of transmission lines. To address the power safety issues caused by transmission line galloping, this study proposes a real-time automatic distributed architecture based on angular rate inertial sensor measurements, along with a secondary compensation trajectory tracking algorithm. A three-dimensional representation of the internal velocity amplitude is constructed to infer variations in speed magnitude. A Kalman low-pass filter is employed to analyze the rotating vector space structure of the high-voltage transmission line, thereby reducing the measurement error of the accelerometer. Finally, MATLAB simulations are performed to analyze the frequency-domain variations of galloping displacement over time. Comparative evaluations with mainstream analytical methods demonstrate that the proposed approach improves computational precision by 27.42% and 45.27% compared to the wavelet transform and central difference methods, respectively. The results confirm that the proposed model and algorithm exhibit innovative technical advantages, enabling accurate frequency-time domain secondary integration predictions. This advancement not only enhances the operational stability of power systems but also holds potential for broader applications across various technical fields.</p>

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Real-Time Decoupling Algorithm of Transmission Line Galloping Trajectory Based on MEMS Inertial Sensor

  • 期刊论文

  • 发表日期：

    2026年2月19日

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  • Xiaolong Huang

摘要

The conventional conductor galloping detection systems utilize mechanical inertial sensors to monitor the motion of transmission lines. To address the power safety issues caused by transmission line galloping, this study proposes a real-time automatic distributed architecture based on angular rate inertial sensor measurements, along with a secondary compensation trajectory tracking algorithm. A three-dimensional representation of the internal velocity amplitude is constructed to infer variations in speed magnitude. A Kalman low-pass filter is employed to analyze the rotating vector space structure of the high-voltage transmission line, thereby reducing the measurement error of the accelerometer. Finally, MATLAB simulations are performed to analyze the frequency-domain variations of galloping displacement over time. Comparative evaluations with mainstream analytical methods demonstrate that the proposed approach improves computational precision by 27.42% and 45.27% compared to the wavelet transform and central difference methods, respectively. The results confirm that the proposed model and algorithm exhibit innovative technical advantages, enabling accurate frequency-time domain secondary integration predictions. This advancement not only enhances the operational stability of power systems but also holds potential for broader applications across various technical fields.