Abstract:The electronic tilt sensor generally has a phenomenon of tilt drift and output data jump. Therefore, detecting the inclination drift law of the tilt sensor and the natural frequency of the data jump can effectively improve the data quality of the tilt sensor. Based on the working principle of high-resolution electronic tilt sensor HRTM, we analyze the factors affecting the tilt drift of the tilt sensor. We design the experimental platform for testing the natural frequency of the tilt sensor output data. We then propose a natural frequency detection method based on Fourier transform. Based on 10 h experimental data collected at constant temperature in the basement, the results show that the tilt output data of the sensor has obvious tilt drift and output data jump phenomenon, the tilt drift is highly linearly related to the internal temperature of the instrument, and the inherent frequency of the x-axis and y-axis jump is 2.773 Hz and 2.813 Hz, respectively.
HE Donghan,ZHENG Yong,LI Chonghui et al. Study on Dip Drift and Natural Frequency of High-Resolution Electronic Inclination Sensor HRTM[J]. jgg, 2022, 42(7): 766-770.