Calibration of gyro G-sensitivity coefficients with FOG monitoring on precision centrifuge

The advantages of mechanical gyros, such as high precision, endurance and reliability, make them widely used as the core parts of inertial navigation systems (INS) utilized in the fields of aeronautics, astronautics and underground exploration. In a high-g environment, the accuracy of gyros is degraded. Therefore, the calibration and compensation of the gyro G-sensitivity coefficients is essential when the INS operates in a high-g environment. A precision centrifuge with a counter-rotating platform is the typical equipment for calibrating the gyro, as it can generate large centripetal acceleration and keep the angular rate close to zero; however, its performance is seriously restricted by the angular perturbation in the high-speed rotating process. To reduce the dependence on the precision of the centrifuge and counter-rotating platform, an effective calibration method for the gyro g-sensitivity coefficients under fiber-optic gyroscope (FOG) monitoring is proposed herein. The FOG can efficiently compensate spindle error and improve the anti-interference ability. Harmonic analysis is performed for data processing. Simulations show that the gyro G-sensitivity coefficients can be efficiently estimated to up to 99% of the true value and compensated using a lookup table or fitting method. Repeated tests indicate that the G-sensitivity coefficients can be correctly calibrated when the angular rate accuracy of the precision centrifuge is as low as 0.01%. Verification tests are performed to demonstrate that the attitude errors can be decreased from 0.36° to 0.08° in 200 s. The proposed measuring technology is generally applicable in engineering, as it can reduce the accuracy requirements for the centrifuge and the environment.

[1]  Bing Luo,et al.  Observability Analysis of a MEMS INS/GPS Integration System with Gyroscope G-Sensitivity Errors , 2014, Sensors.

[2]  Wang Changhong Calibration of gyro error model coefficients on precision centrifuge with counter-rotating platform , 2012 .

[3]  Qin Shi,et al.  Tactical grade MEMS gyro with low acceleration sensitivity , 2015, 2015 IEEE SENSORS.

[4]  Lingling Wang,et al.  A D-optimal Multi-position Calibration Method for Dynamically Tuned Gyroscopes , 2011 .

[5]  Li Mei,et al.  Design of data acquisition system for dynamic simulation centrifuge test , 2011, IEEE 2011 10th International Conference on Electronic Measurement & Instruments.

[6]  S. Khotiaintsev,et al.  Optical-fibre sensor system for monitoring the performance of the gas-propellant centrifuge separator of a spacecraft , 2004 .

[7]  Christophe Gaudin,et al.  A wireless high-speed data acquisition system for geotechnical centrifuge model testing , 2009 .

[8]  D. Wang,et al.  INS Aided GPS Integer Ambiguity Resolution and Real Time Vehicle Attitude Determination , 2013 .

[9]  Gérard Lachapelle,et al.  Estimating MEMS gyroscope g-sensitivity errors in foot mounted navigation , 2012, 2012 Ubiquitous Positioning, Indoor Navigation, and Location Based Service (UPINLBS).

[11]  Ren Shunqing Relationship between Calibration Accuracy of Error Model Coefficients of Accelerometer and Errors of Precision Centrifuge , 2012 .

[12]  Ningfang Song,et al.  Systematic Calibration for Ultra-High Accuracy Inertial Measurement Units , 2016, Sensors.

[13]  Martin Sipos,et al.  Calibration of low-cost triaxial inertial sensors , 2015, IEEE Instrumentation & Measurement Magazine.

[14]  Liu Jie-yu Test data processing scheme of inertial system based on rocket sled , 2008 .

[15]  Sang Won Yoon,et al.  Vibration-induced errors in MEMS tuning fork gyroscopes , 2012 .