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Volume 39 Issue 11
Nov.  2013
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Journal of Beijing University of Aeronautics and Astronautics  > 2013  >  39(11): 1558-1562.
Hu Xuan, Liu Bin, Wang Yichen, et al. Application of software requirement error pattern based on ontology[J]. Journal of Beijing University of Aeronautics and Astronautics, 2009, 35(6): 723-727. (in Chinese)
Citation: Xu Zhe, Liu Yunfeng, Dong Jingxinet al. Thermal bias drift compensation of MEMS accelerometer based on relevance vector machine[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(11): 1558-1562. (in Chinese)
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Thermal bias drift compensation of MEMS accelerometer based on relevance vector machine

  • Department of Precision Instrument, Tsinghua University, Beijing 100084, China

  • Received Date: 18 Dec 2012
  • Publish Date: 30 Nov 2013
    Abstract
  • Thermal bias drift prognosis and compensation model was built based on the regression algorithm of relevance vector machine. The thermal bias drift of the accelerometer experiencing different temperature load can be classified by using both the temperature and the temperature rate as the model input. The influence of training sample number, the kernel function and the parameter sigma were discussed. Experimentation with the data of the temperature cycling test was conducted. According to the experimental result, the thermal bias drift of the accelerometer can be prognosed accurately by the model, the mean square error is less than 1%, and the size of the thermal hysteresis loop is reduced from 0.06g to 0.015g.

     

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    • References(12)
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