Volume 47 Issue 8
Aug.  2021
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GENG Mengmeng, REN Yuan, FAN Yahong, et al. Random error test and error source analysis of MSCSG[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(8): 1697-1704. doi: 10.13700/j.bh.1001-5965.2020.0269(in Chinese)
Citation: GENG Mengmeng, REN Yuan, FAN Yahong, et al. Random error test and error source analysis of MSCSG[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(8): 1697-1704. doi: 10.13700/j.bh.1001-5965.2020.0269(in Chinese)

Random error test and error source analysis of MSCSG

doi: 10.13700/j.bh.1001-5965.2020.0269
Funds:

National Natural Science Foundation of China 51475472

National Natural Science Foundation of China 51605489

More Information
  • Corresponding author: REN Yuan. E-mail: renyuan_823@aliyun.com
  • Received Date: 16 Jun 2020
  • Accepted Date: 03 Jul 2020
  • Publish Date: 20 Aug 2021
  • There is a large random error in the angular rate measurement signal of Magnetically Suspended Control & Sensing Gyroscope (MSCSG), which is not conducive to improving the sensitivity accuracy of MSCSG. In this paper, taking the principle prototype of MSCSG as the research object, the Allan variance analysis method is proposed to analyze the random error of the measured data of MSCSG. According to the principle of MSCSG angular velocity sensitivity, the measurement formula of MSCSG rotor deflection angular velocity is derived. Five typical random error coefficients are calculated by Allan variance analysis and least square fitting. The calculation results show that, among MSCSG random errors, zero deviation instability, rate following and rate slope are the main components, while quantization noise and angle random walk error account for the smaller proportion. According to this, the directivity of MSCSG error source is analyzed, and the method of restraining and compensating random error is given, which lays a theoretical foundation for improving the sensitivity accuracy of MSCSG.

     

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