面向高超声速飞行器双重不确定性的自适应状态估计

Translated title of the contribution: Adaptive State Estimate of Hypersonic Vehicle System with Dual Uncertainties

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

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.

Translated title of the contributionAdaptive State Estimate of Hypersonic Vehicle System with Dual Uncertainties
Original languageChinese (Traditional)
Pages (from-to)1561-1570
Number of pages10
JournalYuhang Xuebao/Journal of Astronautics
Volume41
Issue number12
DOIs
Publication statusPublished - 30 Dec 2020

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