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Volume 42 Issue 4
Apr.  2016
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Journal of Beijing University of Aeronautics and Astronautics  > 2016  >  42(4): 858-864.
WANG Qiyue, WANG Zhongyu, WANG Yanqing, et al. Estimation of space manipulator random vibration signals with poor information based on grey bootstrap method[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(4): 858-864. doi: 10.13700/j.bh.1001-5965.2015.0270(in Chinese)
Citation: WANG Qiyue, WANG Zhongyu, WANG Yanqing, et al. Estimation of space manipulator random vibration signals with poor information based on grey bootstrap method[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(4): 858-864. doi: 10.13700/j.bh.1001-5965.2015.0270(in Chinese)
shu

Estimation of space manipulator random vibration signals with poor information based on grey bootstrap method

doi: 10.13700/j.bh.1001-5965.2015.0270
  • 1.

    School of Instrumentation Science & Opto-electronics Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

  • 2. Academy of Opto-Electronics, Chinese Academy of Sciences, Beijing 100094, China

Funds:  Aeronautical Science Foundation of China (20100251006)
  • Received Date: 29 Apr 2015
  • Rev Recd Date: 26 Jun 2015
  • Publish Date: 20 Apr 2016
    Abstract
  • The classic statistical methods based on statistical theory can not solve the estimation of poor information data. A novel method based on grey bootstrap model for space manipulator random vibration signals with poor information was presented. The random vibration measurement data was processed by the bootstrap sampling．The bootstrap sequence was derived from the bootstrap distribution, and then the system theory was used to establish a bootstrap model. The true value and the interval of the space manipulator random vibration signals with poor information were estimated．grey bootstrap method is compared with grey method and bootstrap method. Experimental results show that grey bootstrap method has high accuracy. The validity of the proposed method is examined．The mean value of estimated relative errors are less than 5%, meanwhile, the estimated interval accuracy calculated with different confidence levels are more than 97%.

     

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