In order to reduce the influence of nonlinear characteristic and temperature on the measuring
accuracy of inclinometer, the application
of polynomial fitting principle to
compensate the measuring error of inclinometer is studied. According to the
analysis of the experimental data of inclinometer, a polynomial model of the
nonlinear error and the measured value is constructed, and then the relation
between the coefficient of the polynomial model and the temperature is obtained
by fitting, and finally the function of
the measurement error of inclinometer on the measured inclination and
temperature is obtained. The results show that this method is feasible and
effective, which can not only reduce the influence of temperature, but also correct its nonlinear error.
References
[1]
Li, X.H., Fan, Y.M. and Li, J.Q. (2008) Capacitive Sensor Processing Circuit. Journal of Tianjin University, 41, 1391-1394.
[2]
Zheng, Y.H., Peng, S. and Jin, Y.X. (2008) Method to Eliminate the Effect of Temperature on the Performance of Dip Sensors. Piezoelectricity and Acoustooptics, 30, 33-35.
[3]
Chen, N.A. and Ji, H. (2020) Nonlinear Error Compensation of Load Cell Based on Libsvm. Weighing Instrument, 49, 33-35+41.
[4]
Kan, B.Q., Zhang, A.T., Wang, J.Y., et al. (2005) Software Compensation for Nonlinear Sensor Signals. Journal of Air Force University of Engineering: Natural Science, 6, 25-27.
[5]
Liu, W.S., Bai, L., Ma, Y.Z. and Chen, M.Q. (2016) Research on Aircraft Brake Servo System Based on Inverse Function Self Correction Method. Computer Simulation, 33, 91-95.
[6]
Gong, Z.L. and Liu, H.S. (2019) Research on Temperature Drift Compensation of Silicon Capacitive High Precision Dual Axis Tilt Sensor. Sensors and Microsystems, 38, 43-45.
[7]
Chen, H.T., Xue, Z.G., Jin, H.W. and Zhang, W.Y. (2020) Method and Realization of Nonlinear Compensation and Temperature Compensation for bme680 Pressure Sensor. Journal of Naval Aeronautical Engineering College, 35, 200-204+222.
[8]
Jia, S., Che, H., Li, Y., et al. (2020) Error Compensation Method of Fog Based on BP Neural Network. Physics and Engineering, 30, 116-120.
[9]
Wang, X.Y., Zhu, J.L. and Miao, M. (2020) Gyro Error Compensation Method Based on Threshold Noise Reduction and Neural Network. Journal of Beijing University of Information Technology (Natural Science Edition), 35, 58-62+77.
