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Volume 40 Issue 2
Feb.  2014
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Journal of Beijing University of Aeronautics and Astronautics  > 2014  >  40(2): 235-239.
Xu Weiqiang, Yuan Xiugan, Xing Yuminget al. Effect of embedding nickel foam on solid-liquid phase change[J]. Journal of Beijing University of Aeronautics and Astronautics, 2009, 35(10): 1197-1200. (in Chinese)
Citation: Liu Yuanyuan, Yang Gongliu, Li Siyiet al. Application of BP-AdaBoost model in temperature compensation for fiber optic gyroscope bias[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(2): 235-239. (in Chinese)
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Application of BP-AdaBoost model in temperature compensation for fiber optic gyroscope bias

  • School of Instrument Science and Opto-electronics Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

  • Received Date: 19 Apr 2013
  • Publish Date: 20 Feb 2014
    Abstract
  • Aimed at the complex non-linearity in bias temperature error model of fiber optic gyroscope(FOG), based on back propagation (BP) neural network and adaptive boosting(AdaBoost) learning algorithm, a new BP-AdaBoost temperature compensation method was proposed to effectively enhance the FOG bias stability. The effects of model parameters on the prediction precision were also investigated. A program for determining the number of hidden layer neurons in BP neural network and the number of iterations in AdaBoost model was given. The prediction error by this BP-AdaBoost algorithm is smaller than that by single BP neural network. By large amount of experiments and calculations from FOG, the compensation results show that, the proposed approach has better performance compared with those traditional linear regression model, mixed linear regression model, and single BP neural network. Through the analysis and simulation, this approach improved is validated and has a great value of engineering reference.

     

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