WANG Hong-yong, MA Li-shu, XU Pinget al. Research on Identification Method of Key Aircraft Based on Temporal Networktime network[J]. Journal of Beijing University of Aeronautics and Astronautics. doi: 10.13700/j.bh.1001-5965.2023.0259(in Chinese)
Citation: Huang Xiaokai, Chen Yunxia, Kang Ruiet al. Bias and scale factor drift modeling methods for accelerometers[J]. Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(10): 1229-1233. (in Chinese)

Bias and scale factor drift modeling methods for accelerometers

  • Received Date: 17 Aug 2009
  • Publish Date: 31 Oct 2010
  • Engineering data modeling methods and their application features were summarized, Combine with the accelerometer bias and scale factor drifting law of experimental measurements in storage conditions, bias time series analysis method and scale factor regression methodology were established respectively, and the detailed steps were also given. The bias and scale factor data of a certain accelerometer was given at last, and the drift values have been predicted via the presented method. The relative error between the prediction values and the measured data was small enough compared with the given acceptance level 10%, which shows the efficiency of the presented methods. The drift models reflect the bias great randomness drift feature and scale factor variation tendency description in true situation, and the accelerometer bias and scale factor drift models can not only be used in parameter exploration and drift compensation, but also provide long term stability assessment technique for the accelerometer bias and scale factor.

     

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