面向高超声速飞行器双重不确定性的自适应状态估计

Xiao Xue Feng, Meng Liu*, Xiao Yu Li, Feng Pan

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

摘要

The internal and external uncertainties of a hypersonic vehicle are modeled as unknown disturbances in this paper. The state estimate of the hypersonic vehicle system in which the state equation and the measurement equation contain different unknown disturbance inputs is concerned here. The adaptive-variance-minimization-based recursive estimator is proposed. Firstly, the recursion model of the filter is established, which realizes the measurement unknown disturbance decoupling from the estimate error. Then, the adaptive adjust factor is introduced to characterize the unknown state disturbance, and the minimum upper bound of the estimate error covariance matrix is obtained. Finally, the measurement gain feedback matrix in the recursive filter is deduced based on the minimum variance estimation criterion. The simulation results of the hypersonic vehicle system subject to the gusty wind and sensor fault verify the effectiveness of the proposed method. The comparison results with the related methods show the superiority of the proposed method.

投稿的翻译标题Adaptive State Estimate of Hypersonic Vehicle System with Dual Uncertainties
源语言繁体中文
页(从-至)1561-1570
页数10
期刊Yuhang Xuebao/Journal of Astronautics
41
12
DOI
出版状态已出版 - 30 12月 2020

关键词

  • Adaptive variance minimization
  • Disturbance decouple
  • Hypersonic vehicle
  • State estimate
  • Unknown disturbance input

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引用此

Feng, X. X., Liu, M., Li, X. Y., & Pan, F. (2020). 面向高超声速飞行器双重不确定性的自适应状态估计. Yuhang Xuebao/Journal of Astronautics, 41(12), 1561-1570. https://doi.org/10.3873/j.issn.1000-1328.2020.12.010