Transmission line galloping signal processing technology based on inertial sensor
HU Tao1, SHEN Liqun2, LEI Peng1, ZHANG Bo2, DONG Weifeng1, LIU Mengyao1
1.School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin 150001, China;
2.State Grid Key Lab of Transmission Line Galloping Prevention Technology, Electric Power Research Institute, State Grid Henan Electric Power Company, Zhengzhou 450052, China
Abstract:In order to identify the galloping characteristic parameters of transmission lines accurately, a galloping signal processing algorithm based on six-axis inertial sensor is proposed in this paper. Based on the theory of strapdown inertial navigation, the frame of galloping signal processing algorithm is designed and the three-degree-of-freedom galloping model is built to perform inversion and attitude calculation. By establishing the error model of acceleration and gyroscope separately, the deterministic error is calibrated and compensation based on non-directional fast calibration algorithm. The wavelet threshold denoising algorithm is used to denoise the ambient white noise and the optimal wavelet basis function and threshold selection principle are determined. In order to update attitude, pitch angle and roll angle is measured by two-direction unevenness to calculate the initial quaternion. In the laboratory environment, the pendulum motion is used to simulate the actual galloping signals. After signal processing, the characteristic parameters of galloping are well identified. The maximum amplitude error and frequency error of the calculated results are 3.58% and 3.67%.
胡涛1,申立群1,雷鹏1,张博2,董伟锋1,刘梦瑶1. 基于惯性传感器的输电线路舞动信号处理技术[J]. 振动与冲击, 2023, 42(19): 49-57.
HU Tao1, SHEN Liqun2, LEI Peng1, ZHANG Bo2, DONG Weifeng1, LIU Mengyao1. Transmission line galloping signal processing technology based on inertial sensor. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(19): 49-57.
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