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.

Key words: Hypersonic vehicle, Unknown disturbance input; Adaptive variance minimization, State estimate, Disturbance decouple